Best match

Most recent

Los Angeles Angels of Anaheim

Houston Astros

Taylor Ward is called out on strikes on a 3-and-2 pitch with the bases loaded in a two-run game in the sixth inning, and Manager Phil Nevin is ejected for arguing the call in a 5-2 defeat.

https://www.bing.com/th?id=OVFT.1bxTT0rHXrHB8s-9a4TFES&pid=News

Critical call goes against Angels in loss to Astros

https://www.bing.com/th?id=ODF.Ty09FvDG3p3KjJ1fhE-20A&pid=news

Los Angeles Daily News

Reddit

Airbnb

An Airbnb rules list has gone viral on the internet after it featured a variety of bonkers demands like "no work or studying".

https://www.bing.com/th?id=OVFT.MTni7B8uPyH1yNeSo3OQFC&pid=News

An Airbnb Host Has Been Dragged Online After Their Cooked ‘Additional Rules’ List Went Viral

https://www.bing.com/th?id=ODF.rUMTaC5UKUz2yN26rBsDMg&pid=news

PEDESTRIAN.TV

Diablo

Error

Diablo 4 fans have just found the stupidest fix for the 'llicense error' issue on PS5, which will help you finally get onto the game.

https://www.bing.com/th?id=OVFT.CBwBUUiUZvd_Gu1kkKIQjy&pid=News

Diablo 4 fans find a ridiculous fix for the license error on PS5

https://www.bing.com/th?id=ODF.xpKYXwjqCDeYPgOcMZ34og&pid=news

VideoGamer.com

Pulkit Samrats thali included idlis, appams, rice, sambhar, dal, onion-tomato chutney, and coconut chutney, among other treats.

https://www.bing.com/th?id=OVFT.MXVOeHUH32FlBxNTi5DS4S&pid=News

Pulkit Samrat Relishes Grand South Indian Thali, Courtesy Kriti Kharbanda

https://www.bing.com/th?id=ODF.5gjekWa-NGH8PK-xrQxZ9Q&pid=news

NDTV

Trader Joe's

Between the beloved baked goods, snacks, and frozen meals, you'll find no shortage of customer-approved food options at Trader Joe's. Fans of this popular chain are so passionate

https://www.bing.com/th?id=OVFT.MA9GM7tnz1XNZrVQykpUQC&pid=News

Chicago

Shutterstock

5 Trader Joe's Items Customers Are Avoiding Right Now

https://www.bing.com/th?id=ODF.gYzmg-KhZTf53fueLBgstw&pid=news

Eat This%2c Not That!

Pregnancy

Wife

In a recent Reddit post, a concerned father sought advice, questioning whether he was wrong for asking his pregnant wife to tend to their child at 3 am.  A Young Family  The Original Poster (OP) is a 33-year-old living with his wife,

https://www.bing.com/th?id=OVFT.LE3RkfaEccMBYaY6U5MSUi&pid=News

He Asked His Pregnant Wife to Get Up to Their Son Even Though It Was His Job, He'd Had a Big Day

Wealthy Living on MSN.com

Forest

Swarm

Just like humans, both dogs and cats can be bitten by mosquitoes, and will experience the same itching and irritation that we do.

https://www.bing.com/th?id=OVFT.1e2lq30sAY3j7mfWhyhG_S&pid=News

Owner Shares Shocking Photos After Dog Attacked By 'Swarm' In Forest

https://www.bing.com/th?id=ODF.uTJA7JDoTGKvff5o3jotfg&pid=news

Newsweek

Expect

Parent

In a recent Reddit post, a 16-year-old shared her concerns about her parent's expectations of her becoming a live-in babysitter for her soon-to-be-born sibling. Here's the full story. Disinterested Parents The Original Poster (OP) is a 16-year-old with a distant relationship with her parents.

https://www.bing.com/th?id=OVFT.i2HneOMaFNy2Mp2UUCqh8C&pid=News

Salon des Refusés

Her Parents Expect Her to Be the Live-in Babysitter When the New Baby Arrives. But She Refuses to Give Up Her Life So They Can Have Theirs!

Solein is a vegan protein made using different natural elements. Find out more about this latest breakthrough in food technology.

https://www.bing.com/th?id=OVFT.YyuMEQ23zQU8VWc3-Z03nC&pid=News

Finnish Start-Up Creates Revolutionary Protein Made From "Thin Air"

Stock

After C3.ai reported a disappointing outlook along with its fourth-quarter earnings, its shares plummeted. Here's why the heavy shorting activity in the stock should intensify.

https://www.bing.com/th?id=OVFT.8dXTl4uGE75MrbN1SN280C&pid=News

Is C3.ai Stock Poised for a Short Squeeze?

https://www.bing.com/th?id=ODF.dsVvdYEiGuqZDGlCaqu-ZQ&pid=news

TheStreet.com

Get the most recent info and news about Reddit on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

Reddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit. Interested in joining our growing team? Check out redditinc.com/careers

Dear Bankless Nation, Take a quick guess at what this Dune Analytics graph represents: What do you think? Turns out it’s the number of ! Reddit Collectible Avatars holders These users, many of whom are newcomers to NFTs, have surged to nearly since the social news aggregator giant launched its Polygon-based NFT system only a few months ago. 3 million strong The growth is incredible, and it shows Reddit’s really onto something. Let’s dive in and walk through the basics of these blooming digital collectibles for today’s post! -WMP The Reddit Avatars boom Reddit Collectible Avatars explained In July 2022, Reddit introduced as an extension of the platform’s rebuilt system. Collectible Avatars Avatar Builder Collectible Avatars are made by independent artists that confer holders with unique benefits on the Reddit website, like special treatment on your posts and customizable wearables. limited-edition digital collectibles The avatars, the initial 31 special-edition series of which have already sold out, are sold through the , purchasable in USD, and maintained in Polygon-based digital wallets. Collectible Avatars Shop Reddit Vault This month Reddit opened up the ability for holders to easily to other Reddit Vaults or external wallets, e.g. MetaMask accounts. transfer their own custom avatars Series over 100Ξ volume so far While all the initial series have already finished their primary sales in the Collectible Avatars Shop, you can browse early secondary marketplace listings across these series right now. on OpenSea To date, the most active collections that have reached +100Ξ total volume have been: — Foustlings 271Ξ total volume, 0.34Ξ floor currently — The Senses 266Ξ total volume, 0.79Ξ floor currently — Wear Your Emotions 134Ξ total volume, 0.2Ξ floor currently — Baked Goods & Evils 111Ξ total volume, 0.1Ξ floor currently At the time of this post’s writing, the collective trading activity around all of the initial series amounted to over $2.3M USD worth of sales volume across +12,000 unique sales so far. Trading on OpenSea Keep in mind that Reddit Collectible Avatars are minted on Polygon, so if you’re interested in trading them you will need a Polygon wallet set up, some MATIC tokens to cover your Polygon gas fees, and some ETH to make buys or bids. 1) 2) 3) Once you sign in to OpenSea, you can use your wallet dashboard to bridge ETH and MATIC if you need to. Then you could search around on the Reddit Collectible Avatars or through to review the available listings. from Ethereum to Polygon series overview page all the avatars at once What comes next? Reddit Collectible Avatars are really interesting because they’re one of the first big attempts in the mainstream to let users expand their ownership and identity both in and beyond a single social media platform. I also really like the effort because it’s light, it’s fun, it’s gamified, there are tiers of wearables for tons of customization possibilities, there are interesting platform perks, and there’s open interoperability from being built on Polygon. In the months ahead, look for Reddit to field new artist partnerships and to continue attracting millions of more holders from its massive user base. It also seems probable, and from what I can tell highly requested by early holders, that Reddit will launch a more expansive and standalone avatar marketplace to provide a bespoke experience for novices and power users alike. Also, don’t be surprised if other social media giants follow suit with their own NFT avatar pilots if Reddit’s collectibles numbers continue to be strong! Action steps 📣 Subscribe to the subreddit to keep up to date with future news, artist features, and more r/CollectiblesAvatars 🌊 Check out the first on OpenSea limited-edition Reddit avatars 🎁 See my last post if you missed it! A sneak peek of Blur First Published At:﻿ https://metaversal.banklesshq.com/p/the-reddit-nft-surge

A Look at NFTs' Resurgence on Reddit 📈'

GM. This is Crypto Player One, the daily newsletter on crypto gaming, NFTs, and the metaverse that gives you all the juice while getting loose. Happy Monday! We are starting the week with: Daily Trivia. How Reddit onboarded 3 million people into NFTs. In Other News. Meme of the Day. Daily Trivia Which world-renowned artist created music for "Sonic 3"? Scroll down to find out the answer. Redditors Have Created 3 Million Crypto Wallets Since Reddit's Collectible Avatars NFT launch, Reddit has more active wallets than the biggest NFT marketplace, OpenSea (3 million vs. 2.3 million.) The social media company launched Collectible Avatars, limited-edition digital collectibles, back in July 2022. The holders of these digital collectibles can use them as their Reddit avatars. Reddit made the onboarding process damn easy. Users bought the NFTs in dollars using their credit cards, so they didn't need any complicated crypto setup. The Collectible Avatars run on the Polygon blockchain. Redditors can also transfer them from the Reddit Vault digital wallet to external wallets like MetaMask. Reddit worked with around 30 artists, releasing around 40k NFT avatars that could be purchased in the Reddit mobile app for prices between $9.99 to $99.99. And they instantly sold out. So What Made Reddit's NFT Launch Such a Success? Three things: They Knew Their Audience Crypto and NFTs remain unpopular on Reddit, and amongst gamers (who happen to be Reddit users), so Reddit never mentioned the words "crypto" and "NFTs." They called the Collectible Avatars digital collectibles, so users couldn't get mad. Easy Onboarding Process Users didn't need to download MetaMask, write down their seed phrase on a piece of paper, and put it in the drawer to hide it from the Feds. They could buy these digital collectibles with credit cards, making the buying experience as smooth as James Bond in Casino Royal. Fair Pricing We've seen it time and time again. A big company or celebrity creates an NFT collection, sets an egregious mint price, sells out the collection, pockets the cash or, in our case, ETH, and leaves their audience holding the worthless bag. Reddit did the exact opposite. They created a collection that had a fair price (between $9.99 to $99.99) and gave real utility to their audience. All Redditors want to rock cool avatar pics. So, well done to the Reddit team. They created the playbook on how to onboard millions of users into NFTs the right way. We also can't forget our friends at Polygon. While other projects are trying to get their NFT scene going, Polygon has onboarded millions into web3 by partnering with established companies like: Starbucks Reddit Meta So crypto and NFT builders, Reddit and Polygon just showed you how it's done. In Other News The company behind the NFT project Azuki, Chiru Labs, sold NFT-backed skateboards for more than $2.5 million. Decentraland's second Metaverse Music Festival will feature Ozzy Osbourne and Soulja Boy. According to the Singapore High Court, NFTs can be considered property. Meme of the Day Answer Michael Jackson created some music for "Sonic 3 & Knuckles" but didn't get credited because he abandoned the project. Want to Stay On Top of All Things Crypto Gaming and NFTS? Sign up for the daily newsletter - it’s free! DISCLAIMER: None of this is financial advice. The goal of this newsletter is to educate and make you laugh (sometimes.) We don't give investment advice nor make any inclinations to buy or sell any assets or to make any financial decisions. Always do your own research. Also published here

🎮 Reddit Has Onboarded More People Into NFTs Than OpenSea 

Let me guess, you’ve spent countless hours on Reddit. You’ve laughed at all of the Game of Thrones season 8 memes, looked at a million cute dogs, and been stunned by some of the things people willingly post online. However, you realized that you were addicted and decided the best thing to do was delete your Reddit account. Or you just got bored of the website. Either way, you need to get rid of your account. Which brings up the question: how do you delete a Reddit account? How to Delete a Reddit Account The first step is obvious: go to Reddit and make sure that you’re logged into the account you want deleted. Once you’re logged in, click on your account name on the top right. This will open a drop-down menu, and the next thing you should click on is user settings. It will take you to a page with multiple tabs. Make sure you’re in the Account settings tab and go all the way to the bottom. You will see a red button that says, “DELETE ACCOUNT”. Click it, and a window will pop up asking you if you’re sure and to put in your username and password if you want to proceed with deleting your account. The window lets you know that once an account is deleted, it’s not recoverable. Another important point that it tells you is that your posts, comments, and messages aren’t automatically deleted just because your account is. They’ll live on, but people won’t necessarily know that it was your account that made those posts and comments. They’ll show up like this: If you’re okay with this, put in your username and password, checkmark the box, and hit the delete button. Another window will pop up that asks you if you’re certain you want this account deleted. Click on delete again, and that’s all she wrote. Reddit account successfully deleted. But what if you’re in a hurry to delete your Reddit account and can’t reach your computer? Can you delete your account through the Reddit app? Yes. How to Delete Reddit Account on App So, just for clarification, we’re talking about the official Reddit app. Not Apollo for Reddit or narwhal for Reddit. As far as we’re aware, you can’t delete your account through these third-party apps. Open the app, and press your profile icon that’s on the top right side of the screen. This will open a menu; press the Settings button that’s on the bottom. Then go all the way down to Support, and you will see a Delete Account button. Press it, and a window will pop up asking if you’re sure. Press “Yes, Delete”, and it will ask you to put in your username and password. After this, another window will pop up asking you why you decided to delete your account. This is optional; you can skip it and keep on going. Then it will ask you if you’re sure you want to delete your account. Press yes, and you will finally receive confirmation that your account has been permanently deleted. And voila, account deleted. Sometimes deleting social media accounts can be tricky, but Reddit makes it pretty straightforward. You shouldn’t have any problems. More on Social Media: Facebook, WhatsApp, and Your Privacy: What You Need to Know How to Activate Disappearing Messages on Instagram How to Manage Your Technology and Reduce Your Digital Distractions Photo by on Brett Jordan Unsplash

How to Delete Your Reddit Account

It’s hard to shock Collin Williams, a volunteer moderator for r/RoastMe, a comedic insult forum with 2.3 million members. But about a year ago, he was surprised by something in his own comment history. The ghosts of posts he had attempted to remove were still there. Per 2020 numbers, visit Reddit’s site each day and peruse some . Those communities are kept on-topic (and in theory, consistent with Reddit’s content policies), mostly thanks to human volunteers and automated bots, collectively referred to as moderators or “mods.” 52 million people three million topic-specific forums, or subreddits As a moderator, Williams tends to a garden of posts and comments, a process that includes removing posts that break subreddit rules. Moderators set their own rules for what is postable in their own forums, but also play a role in enforcing Reddit’s content policy. On r/RoastMe, those moderator-created rules outlaw posting pictures of someone without their permission or of people under 18, for instance. But even after Williams removed offending posts from his subreddit, they were, somehow, still viewable in his account’s comment history. The moderator’s entire history becomes this giant list … of everything they’ve removed and for what reason. r/RoastMe moderator Collin Williams Then, Williams had an epiphany. This probably wasn’t a problem just on his subreddit. Williams was right. Across Reddit, when a moderator removes a post, the post is unlisted from the subreddit’s main feed. But images or links within that post don’t actually disappear. Posts removed by moderators are still readily available to anyone on Reddit in the comment history of the moderator who flagged it—complete with an explanation of the rule it violates—or to anyone who retained a direct URL to the post. “The moderator’s entire history becomes this giant list—basically an index—of everything that they’ve removed and for what reason. Reddit kind of accidentally created this giant index of stuff that humans have flagged as being inappropriate on the site,” Williams said. This is happening across subreddits. You can still find moderator-removed or (a major Reddit faux pas) of dog photos. But it also happens on subreddits dedicated to posting sexual or sexualized content. In those cases, this loophole allows posts to persist on the site, even though they violate Reddit’s . video game memes reposts content policy Credit:Reddit.com For example, the subreddit-specific rules of r/TikTokThots, a subreddit dedicated to sexualized TikTok videos, explicitly instruct users not to post videos of people presumed to be under 18, in keeping with the Reddit-wide content policy against “the posting of sexual or suggestive content involving minors.” But The Markup was still able to find removed posts in moderators’ comment histories in which certain images, flagged by moderators for depicting presumed minors, were still live and visible. In the more risqué subreddit r/TikTokNSFW, moderators removed at least one nude image because it “contains minors,” according to moderator judgment, yet the image is still visible on the site through the removing moderator’s comment history. This is thus far a huge miss by the engineering and UX team…. Sameer Hinduja, Cyberbullying Research Center “This is thus far a huge miss by the engineering and UX team and must be rectified immediately in order to prevent new or recurrent victimization of those featured in the content,” said Sameer Hinduja, co-director of the and a professor of criminology at Florida Atlantic University. Cyberbullying Research Center Williams privately reached out to Reddit’s r/ModSupport, a point of contact between Reddit administrators (i.e., employees) and volunteer moderators, on Sept. 15, alerting them to this issue. He later received a DM from a Reddit administrator saying, “Thanks for sending this in. We’ll take a look!” But as of publication time, there had been no change. About one month later, Williams also posted publicly in Reddit’s r/ModSupport to alert other moderators to the potential problem. Reddit’s Community Team . removed his post Credit:Reddit.com Reddit has not responded to multiple requests for comment for this story. Grappling With Content Removal Reddit has continually grappled with how to police its endless list of online communities. This has played out most publicly in Reddit’s NSFW (not safe for work) content, particularly nude or sexualized images. Before 2012, explicitly banning content that sexualized minors, but the company did report “clear cut cases” of child sexual abuse material (CSAM) to the National Center for Missing and Exploited Children. Reddit did not have a publicly posted policy When it came to what Reddit termed “legally grey” areas surrounding CSAM, Reddit initially dealt with them on a But eventually, Reddit took more sweeping action to curb CSAM on its platform. “case by case basis.” For example, Reddit administrators the controversial community r/jailbait after a nude picture of a 14-year-old girl was posted on the subreddit. banned By 2012, Reddit had reformed its content policy: that focused on the sexualization of children were banned. But in 2014, The Washington Post suggested , with “every kind of filth and depravity you can conceive of—and probably quite a bit that you can’t” still live on the site. All subreddits little had substantively changed Reddit’s bans any sexual or suggestive content involving minors or anyone who even appears to be under 18. Users and moderators can report images sexualizing minors to Reddit administrators, who will remove the posts themselves and then report blatant CSAM to the National Center for Missing and Exploited Children. current policy However, Reddit is currently facing related to alleged lax enforcement of CSAM policy. In a complaint filed in April 2021 in the U.S. District Court for the Central District of California, one woman accused the company of allowing an ex-boyfriend to repeatedly post nude videos and images of her as a teenager. a class-action lawsuit “Reddit claims it is combating child pornography by banning certain subreddits, but only after they gain enough popularity to garner media attention,” the complaint reads. Reddit filed a motion to dismiss this case, citing of the Communications Decency Act, from content posted by third parties. A in October, and the plaintiff has since to the U.S. Court of Appeals for the Ninth Circuit. Section 230 which protects websites against liability court granted that motion appealed While Reddit has banned communities that violate its rules, the architecture of Reddit’s site itself allows content deemed by to violate Reddit’s policies to persist in a moderator’s comment history. Hinduja said this loophole can present problems for people struggling to remove sensitive content from Reddit’s platform. moderators “It clearly is problematic that sexual content or personally identifiable information which violates their policies (and in the history, clear explanation is typically provided as to why the material transgresses their platform rules) still is available to see,” he said. There are some cases in which removed posts don’t have accessible images. If users delete their own content (if prompted by a moderator, or of their own volition), the images seem to truly disappear from the site, including any comment history. If a user doesn’t take this action, there’s not much moderators can do to truly delete content that breaks Reddit’s rules, other than report it to Reddit. Reddit’s acknowledges that moderators can remove posts from subreddits, but don’t have the power to truly delete posts from Reddit. Moderators, to some extent, are . guidelines for moderators aware of this fact [The best a moderator can do is] click the report button and hope the overlords notice it. u/LeThisLeThatLeNO, Reddit moderator A moderator for six Reddit communities, u/manawesome326, told The Markup that removing posts as a moderator can prevent posts from showing up in subreddit feeds, but it “leaves the shell of the post accessible from the post’s URL,” which makes it accessible via moderator histories. Moderators of more risqué subreddits are also aware that they can’t truly remove content. A moderator for r/TikTokNSFW, u/LeThisLeThatLeNO, also noted to The Markup that removed posts on Reddit are still viewable and that the best a moderator can do is to “click the report button and hope the overlords notice it.” “In my experience (over 1 year ago) making reports almost always led to nothing, unless a whole avalanche of reports go in,” the moderator said via Reddit. Reddit has previously attempted to limit who can view removed content. In a , a subreddit dedicated to platform updates, Reddit administrators wrote, “Stumbling across removed and deleted posts that still have titles, comments, or links visible can be a confusing and negative experience for users, particularly people who are new to Reddit.” post in r/changelog The platform noted it would allow only moderators, original posters, or Reddit administrators to view posts that had been removed that would have previously been accessible from a direct URL. The limits applied only to posts with fewer than two upvotes or comments. Many moderators, though, had major issues with this change, because subreddits often referred to removed content in conversations and moderators have found it useful to view accounts’ past posts (even user-deleted ones) to investigate patterns of bad behavior. The trial was . Reddit did not respond to questions asking for specifics on why the trial had been discontinued. discontinued in late June Meanwhile, Williams has tried to block the route most Redditors might use to find deleted posts: his comment history. He has started to privately message users who post rule-breaking content on his subreddit to explain why it was removed rather than leaving a public comment. This method, he hopes, will make removed posts harder to find. If anyone had happened to squirrel away a direct link to a removed post, however, the offending images are still accessible. Moderation Versus “Platform Cleanliness” Although Reddit does have the power to truly delete posts, it’s still the volunteer moderators, real and automated, who do the bulk of content management on Reddit. (Posts removed by bots also still contain visible images if viewed through the bot’s comment history.) According to Reddit’s , Reddit administrators removed 2 percent of all content added to the site in 2020, whereas moderators, including bots, removed 4 percent of content. 2020 transparency report Loopholes like this one create a gray area when it comes to content moderation, said , the chair in New Media and Digital Culture at the University of Amsterdam. Richard Rogers While moderators are a first line of defense responsible for keeping prohibited content off of their subreddits, this loophole means they have little power to enforce what Rogers calls “platform cleanliness.” “Then the responsibility shifts from the individual subreddit and the moderators to the platform,” Rogers said to The Markup. “So seemingly, here, we have a disconnect between those two levels of content moderation.” In the meantime, images in removed posts will continue to linger in Reddit’s corners, just a click away from being discovered. Written by: Emma Betuel Photo by on Marco Bianchetti Unsplash Also published here

Why Are Removed Posts Still Visible on Reddit?

Reddit is one of the most popular social networks in the world. It is a huge forum with a bunch of subforums called subreddits. Each subreddit is a closed ecosystem with its system of rules, established practices, and most importantly, an audience and moderators! The subreddit you want is r/Gaming. It's the largest gaming community where you'll 100% find your players. However, you can't just jump in and get there. If you now post about the game in a new account, it will be immediately deleted. What to do to successfully post on Reddit? The first thing to remember is the karma system. Each comment or post can be rated up or down. The more positive ratings (called "upvotes" here) you get, the more roads will open up in front of you! You need a minimum of 150 karma points to get started on the platform = to be eligible to write in the most popular subreddits. To publish on r/Gaming you need at least 5000 karma. I can't give exact figures because: They often change They are not spelled out anywhere and moderators are in no hurry to share information. In general, you should be prepared that moderators of large communities are often not ready for a detailed dialogue, because they have to communicate with hundreds of users every day. Write what you're passionate about and what you can help other users with. Be sure there's a subreddit for everything you're interested in - just look at the community of parkour dog handlers who perform stunts with their pets. You didn't know, and it exists - r/barkour. You can get content just by swiping your photos on your phone or the "like" tab on social media. You took a picture of food - post it. You took a picture of a beautiful sunset, post it! Taking a picture of your kitty - well, you get the idea. You'll need at least 15 posts on any subject EXCEPT YOUR GAME - this is important! I'm sure you've already wondered: where is the easiest place to get the right amount of karma and posts? Most subreddits automatically ban posts from new users, but there are exceptions. Here's a quick list of the most accessible subreddits: r/FreeKarma4U r/AskReddit r/Delightfullychubby Most likely, at first, you will have to find and comment on other users' posts, thereby gaining your first karma. Look for fresh, but gaining popularity posts in large subreddits. Be polite, answer questions before anyone else, and ask them yourself - people like to be asked their opinions. Once you get 150+ karma, most other subreddits will also let you write posts. Here's a small list of useful communities at this stage: r/gamingmemes r/USA r/Food r/FoodPorn r/Breakfast r/aww r/cats Also, you can add to this list subreddits about your favorite games. The account creation date should be 30+ days before you post about your game on r/Gaming. In general, the rule of thumb is: the older and more "pumped up" your account is, the less likely you are to get picked on. Most important: the number of posts about your game may not exceed 10% of all posts on your account. This applies to any posts that the moderators of the subreddit may think are related to your game. Even deleted posts are taken into account - the moderator's eye sees everything! Once you've done all of the above, you'll need to choose a gif and post a title for r/Gaming: The smaller the weight of the gif, the better - try to fit in 8MB or less. The faster the player understands what he or she needs to do in the game, the better. The more understandable and sticky movement on the gif, the better. Don't use the name of the game in the title. It is advisable to tell a personal story in the title of the post, rather than burdening users with promotional slogans. Examples of successful captions are below. By the way, never quarrel with moderators! Sometimes you may think they're being unfair, but it's their site and their rules. You have to respect that. If your post has been deleted, ask as politely as possible what the reason is and consider it in future posts. You probably won't get published the first time without a problem. Some advice: Don't use extra accounts, pretending to be regular users in the comments to artificially increase activity and likes under the post. Just don't do it that way. Once you've done and accounted for all of the above, you can safely make a post on r/Gaming. If the publication was not deleted automatically and still within 30 minutes after - then it is unlikely to be taken down. If you already have a community of players - send them a link to the post. Every like and comment immediately after publication is worth its weight in gold. However, be prepared that in the first 3-5 hours the post may not grow quickly. There works the principle of a snowball, which slowly picks up its weight, but after crossing a critical point - it flies by itself and knocks down everything that gets in its way. Figuratively speaking, of course. If you do it right, within the first couple of hours your post will be up in the Rising section. Answer all questions and keep the user dialogues going under your post! No one should go unanswered: If there are questions - answer and ask counter questions. If a person writes that they like the game - give a link to Steam or a social network (but don't abuse it - moderators don't like links). If you didn't like the game - find out exactly what you didn't like and thank them for their feedback. If you have a successful post on your hands, be prepared that you'll have to sit up at night to have time to respond to everything and hang in the subreddit top for as long as possible. Through inattention, Beast Hour twice failed to pass the r/Gaming check and their posts were taken down in a matter of minutes. Nevertheless, when all the conditions were finally met, Beast Hour got a successful post that brought them more wishlists in one day than they had received in weeks before. That said, Beast Hour was lucky. Their first moderated gif gathered not 20-50 upvotes, but hundreds of times that number. However, be prepared for success to take time. But it will come!

What Can You Do to Make Reddit Aware of Your Game? A Real Experience

Little else can be added on Reddit at this point. Millions of users visit this "aggregator" daily, and on many occasions they share excellent information using videos, such as tutorials or tricks for video games. The only problem is that Reddit doesn't enable a direct download method. If you need to download Reddit videos for offline playback, you will need to visit the Redditvideodownloader portal and get the links there. Even if you don't have a Reddit account, it's never a bad idea to include the aggregator if you need specific information. Maybe you want suggestions for putting together a team of characters in an MMO game, or are looking for a new source of inspiration for your next weekend project. Many of its users do not hesitate to share details through videos, but there is a drawback: We cannot download videos from Reddit , or rather ... not without help. That's where Redditvideodownloader comes in. How to download videos from Reddit with Redditvideodownloader doesn't need anything strange. All it asks is that you open the link to the video in a tab, use the button and click . Redditvideodownloader Share Copy Link Then paste the link into Redditvideodownloader, and click again. Submit In a matter of seconds, the site will present all the download options. The most comfortable is "the big red button" according to its developers, which will download the version with higher quality and integrated audio. If your video is too large or you need lower resolution copies, Redditvideodownloader offers alternative downloads. Added to that is the conversion of the audio to mp3 format, or its separate reproduction of the video in mp4. We had no issues during our testing, but Redditvideodownloader cautions about some obstacles in its FAQ. For example, if the browser opens the video in another tab (instead of starting the download) , it is enough to right-click on the video and choose the save link option. Another possibility is "video not found", and here Redditvideodownloader indicates that the video is from an external platform, or is actually an animated GIF. Redditvideodownloader doesn't require account creation, doesn't drag weird dependencies, and from what I've seen, it's ad-free. Do the test!

How to Download Videos from Reddit 

Social media apps are perfect candidates for using graph databases and GraphQL APIs. The combinations of complex data queries and relationships are endless. Take Reddit for example. The app consists of “subreddits”, or topics. Users can create posts in these subreddits, which means that there is a many-to-one relationship between posts and subreddits. Each post belongs to exactly one subreddit, and each subreddit can contain many posts. Users can comment on posts, leading to another many-to-one relationship between posts and comments. Each comment belongs to exactly one post, and each post can have many comments. There is also a many-to-one relationship between users and posts and between users and comments. Each comment and post is made by a single user, and a single user can have many comments and posts. In an app like Reddit, each page of the app requires different subsets of this data. Using traditional REST API endpoints could mean developing several unique endpoints each tailored to meet the needs of a specific use case. GraphQL APIs, however, are based around the idea of having a single API endpoint that developers can use to pick and choose the relevant pieces of data they need for any given page. This article will highlight the flexibility of GraphQL and how easy using a hosted backend from makes it for frontend developers to get exactly the data they need for each page of their app. Dgraph Cloud Demo App — Readit The we’ll be using throughout the rest of the article is Readit, a Reddit clone, but for book lovers (…get it?). The app is built using: demo app for the UI React for the client-side routing React Router for the GraphQL backend and database Dgraph Cloud for facilitating the communication between the frontend and the backend Apollo Client As noted above, the basic data types in the app are subreddits (“subreadits”, ha…), posts, comments, and users. A diagram may be helpful to visually highlight the relationships between each of these nodes that make up our graph: Node relationships in the graph The app contains routes for viewing the home page, viewing a single subreadit, viewing a specific post, and viewing an individual user. Here we see the home page: Readit home page If you’d like to follow along at home or try this out on your machine, all of the . You can also . code for this app can be found on GitHub view the demo app here Configuring the Dgraph Cloud Backend Now that we have an overview of the app, let’s get started. First, we’ll create a backend with . For those not familiar with this service, Dgraph is a native GraphQL graph database built for the cloud. Dgraph Cloud With a little configuration, you get a graph database as well as an API endpoint for working with your database. Dgraph’s free tier is great for learning and getting started, so that’s what I used. More advanced features like shared and dedicated clusters are available on additional paid tiers if you need to make your backend production-ready. After signing in to our account, we click the “Launch a new backend” button, which will bring up the following setup page: Configuring a new Dgraph Cloud backend Since this is a demo app, we can choose the Starter option for the product type. Production apps should use a higher tier with a shared or dedicated instance though. I left my region as “us-west-2”, since that’s the region closest to me. I used “reddit-clone” for the name, but feel free to use whatever you like. After filling out all the options, we can click “Launch” to spin up the new backend. Once the backend has been created, we’ll see an overview page with the new backend API endpoint: New backend API endpoint Now it’s time to build a schema. This schema declares the various types of data that we’ll be working with in our app and storing in our database. We can either enter our schema info directly in the Schema Editor, or, for a more interactive experience, use UI Mode. Let’s use UI Mode to create our schema. The GUI helps us configure our types, their fields, and even the relationship between various types and fields. Creating a schema in UI Mode After creating the schema, we can click the “Deploy” button to make it official. If we now look at the Schema Editor view, we’ll see the resulting GraphQL snippet: As you can see, each field has an associated type. For instance, the type we created has an field that contains a unique identifier generated by Dgraph Cloud. It has a field which contains the string text entered by the user. It has a field which is an integer representing the number of votes the comment has received. Finally, the field references the user that wrote the comment, and the field references the post on which the comment was made. Comment id commentContent voteCount user post The relationship between the comment and the user is designated by the directive which tells Dgraph Cloud that the type is linked to the type by the field on the type. The same is true for the relationship between the comment and the post. @hasInverse Comment User comments User You’ll also notice that a few of our fields include the directive. This allows us to filter our queries by these searchable fields. For instance, we can find a specific subreddit by filtering our query results by a specific string of text for the field. The same is true when filtering user results by their field. @search name userName The next step is to populate the database with some seed data, which we can do using the API Explorer. We won’t go through all the mutations necessary to populate the data in this article, but you can . These snippets are used to create the subreadits, users, posts, and comments. view the GraphQL snippets here For example, here’s what I used to create a few subreadits: Configuring the Frontend Now that we have the backend created, we can move along to building the frontend. We’ll use to generate a skeleton app as a starting point and then continue to build upon the app from there. create-react-app yarn create react-app reddit-clone reddit-clone cd Next, we’ll install so that we can do client-side routing in the single page app with React Router: react-router-dom yarn add react-router-dom Using React Router, we can create routes for each of our pages: home, subreadit, post, and user. Below is the component with each of its routes: App Then, we’ll install a couple of packages for , which is a JavaScript state management library for working with GraphQL. While it’s possible to make requests to a GraphQL API endpoint directly using something like the API, Apollo Client makes this process even simpler. Apollo Client fetch yarn add @apollo/client graphql (You’ll note that we’ve installed the package as well as the package, even though we never directly use the package in our code. This is because is a of and is used internally to facilitate working with GraphQL in JavaScript.) graphql @apollo/client graphql graphql peerDependency @apollo/client Now that we have Apollo Client installed, we can easily query data from the GraphQL backend and consume it in our React components. We can first create the Apollo client like so: And then we can wrap our main component in the in the file: App ApolloProvider index.js Home Page Now that we have our routing set up and Apollo ready to go, we can begin building the pages for each of our routes. The home page shows a list of popular subreadits and a list of popular users. Readit home page We can query our endpoint for that information and then use Apollo to declaratively handle the , , and data states. The code for the component is reproduced in full below: loading error response HomePage Note how when retrieving the user info, we don’t need to fetch all of the user’s posts and comments. The only thing we’re interested in for the home page is how many posts and how many comments each user has. We can use the field from and to find the relevant numbers. count postsAggregate commentsAggregate Subreadit Page If we click on one of the subreadits from the home page, we’ll be taken to that particular subreadit’s page where we can see all the posts under that topic. Readit subreadit page for the 1984 subreadit On this page, we need the data for the subreadit name and description, just like we did on the home page. We now also need to fetch all of the posts that are part of this subreadit. For each post, we need the post title, the number of votes and comments, and the username of the user who posted it. We don’t need the actual comments yet though since they’re not displayed on this page. Here’s the code for the component: SubreaditPage Post Page Once we’ve found an interesting post we’d like to view, we can click on the link to view the individual post page. This page shows us the original post as well as all of the comments on the post. Readit post page for Oscar’s post Here we need all the same post data that we did on the subreadit page, but now we also need to know the subreadit it was posted on, and we need all of the comments on the post. For each comment, we need to know the username for the user who posted it, what the actual comment content was, and how many votes it has. The code for the looks like this: PostPage User Page Finally, if we decide to view a user’s profile, we can see all of their posts and comments they’ve made. Readit user page for Oscar Martinez This page should show the user’s username, bio, number of posts, and number of comments. We also need all of their posts and all of their comments. On each post, we need to know the subreadit it was posted on, the post title, as well as the number of votes and comments. For each comment, we need to know which post it was a comment on, what the comment content was, and the number of votes it’s received. The code for the is below: UserPage This page is by far the most complex, as we need to query more than just summary data or aggregate count data. Conclusion As we’ve seen, each page in our app requires unique portions of data. Some pages need only high-level summaries, like the number of comments or posts a user has made. Other pages need more in-depth results, like the actual comments and actual posts. Depending on the page, you may need more or less information. The benefit of using GraphQL and Dgraph Cloud is the flexibility in querying exactly the data we need for each page — no more and no less. For each request, we used the same single API endpoint but requested different fields. This greatly simplifies the development work as we don’t need to create a new backend endpoint for each page. (Or worse, create a single endpoint that retrieves a monstrous payload of data we then have to sift through to find the minor subset of data that we need.) GraphQL makes it easy to quickly and painlessly request exactly the right data exactly when you need it. . Also published behind a paywall

How to Build a Reddit Clone with React and Dgraph Cloud

In 2020, discussion website Reddit took the idea of democratizing user-generated content mainstream with the introduction of Community Points. Put simply, these points allow users to be monetarily rewarded for their contributions to the platform and community. On a more technical level, these points translate to digital tokens on a blockchain. Each participating subreddit on Reddit will eventually receive its own form or stylization of . To begin with though, the platform’s developers decided that the cryptocurrency community would be the first to get its hands on this new feature. This led to the birth of the MOON token. Community Points Designed to incentivize participation, MOON is a digital currency built specifically to service the r/CryptoCurrency subreddit. Reddit Karma vs. Community Points Reddit has long maintained a community reputation system in the form of ‘karma’ points, which essentially represent a user’s earned ‘upvotes’. The introduction of MOON means that users can now also attach a monetary value to their contributions. Reddit’s vision for MOON tokens and the Community Points program is to encourage high-quality posts, discussions, and engagement. By giving value to a user’s community reputation, interactive features such as user tipping, prize-based contests, and weighted voting. Reddit hopes to offer Several use cases for MOON tokens have already popped up in the short time since the project’s inception. In September 2020, Reddit admins enabled MOON tokens to be converted into Reddit Coins. Reddit Coins allow users to award posts and comments, and were formerly only obtainable in exchange for fiat currencies. unveiled Announced in May 2020, the first batch of MOON tokens were distributed to all existing members of r/CryptoCurrency later that month. A total of 50 million tokens were initially disbursed to the subreddit’s existing user base. Claiming these tokens was a manual process though, which means that many users likely missed out on the opportunity to receive their free reward. Nevertheless, new MOON tokens are now distributed on a monthly basis. The extent of these rewards are based solely on the user’s contributions to the community over the preceding four-week period. Any contribution to the cryptocurrency subreddit is automatically eligible to earn MOON tokens. New contributions to the subreddit (in the form of posts and comments) start out with 1 upvote, which doesn’t net the user any reward. However, subsequent upvotes from the community translates to token rewards for the contributor at the end of the month. MOON’s Token Economics Explained As mentioned previously, a fixed number of tokens are awarded to active users of the subreddit every month. Only a maximum of 5 million MOONs will be distributed each month. Furthermore, this limit will shrink by 2.5% each cycle. Ultimately, only a total of 250 million tokens will be minted and distributed — with a sizable portion of that amount already in circulation. In this sense, MOON follows a deflationary model similar to Bitcoin and other cryptocurrencies. Tokens with limited supply fare better at preserving their purchasing power, and can even result in the appreciation of their prices. This has already happened with MOON, in fact. In its mere ten months of existence, the MOON token went from being virtually worthless to having a market cap of a few million dollars. As of March 2021, each token trades for approximately $0.06. It’s worth noting that Reddit has not disclosed how many tokens each upvote translates to or if the reward ratio is fixed month-to-month. This means that the same number of upvotes can result in varying amounts of MOON tokens awarded from one cycle to another. Intuitive or Convoluted? MOON token balances can only be accessed through Reddit’s official mobile applications — on either Android or iOS. Once logged in, users simply have to create a vault and claim their MOON rewards at the end of each month. Reddit offers a more thorough guide on its website . here Reddit’s Vault is a user-friendly term to describe a cryptocurrency wallet. Like any other wallet, it abstracts the more technical aspects of cryptocurrency ownership. Under the hood though, each user is assigned a randomized private key and corresponding public key or receiving address. As long as the private key is safely backed up, users can restore their MOON balances on any supported Ethereum wallet. Using MOON tokens on Reddit is relatively straightforward. The vault section offers the aforementioned option to exchange MOON tokens for Reddit Coins. Navigating to the cryptocurrency subreddit, meanwhile, brings up the option to become a ‘special member’ in exchange for 1000 MOON tokens per month. The subscription offers unique perks, including the ability to comment with GIFs, use animated emoji, and show off a colorful username. Trading accumulated MOON tokens for other digital tokens and currencies, however, can be a bit tricky. This is because the MOON contract lives on a test network. Since testnet coins have no value, users need to trade their MOON tokens for xMoon and exchange that in turn for DAI. In the future, the MOON contract will officially live on the Ethereum mainnet — making this conversion process a literal thing of the past. For now, however, the most convenient way to spend MOON tokens is on Reddit itself. MOON: A Shining Ray of Light for Ethereum Similar to most cryptocurrencies on the market today, MOON has been built on top of the Ethereum network. This means that a user's MOON token ownership can be easily verified on the Ethereum blockchain. With thousands of daily active users and transactions, this underlying network is extremely secure and trustworthy — second perhaps only to Bitcoin. All functions of the MOON token, including balance management, transfers, and distribution, are handled by smart contracts. In other words, the entire system has been programmed to run in perpetuity and is free from human input. This eliminates the possibility of nefarious activity or malice — both of which could be risks for a community-driven token. Reddit's MOON token showcases yet another promising use case for Ethereum — and cryptocurrency technology in general. While platforms such as Steem pioneered the idea of community-backed rewards, Reddit’s mainstream appeal may finally result in mass adoption. Once the Community Points program reaches other subreddits, millions of Reddit users will finally be able to witness the merits of cryptocurrencies first-hand.

Everything You Need to Know About Moon - Reddit’s Ethereum-Based Cryptocurrency

s = .score interval = order = Math.log([s.abs(), ].max, )
    sign = s > s < - seconds = .created_at.to_i - (sign * order + seconds / interval).round def hot self # upvotes - downvotes 69000 # originally 45000 1 10 if 0 1.75 # originally 1 elsif 0 1.75 # originally -1 else 0 end self 1134028003 7 end I created a site where people can vote and submit projects they want me to build. It had 2 ranking modes, "top scoring" and "newest" Problems with "Top" and "New" This was fine when there was only a dozen projects, but as the list grew, two problems arose: In the "top scoring view", the top few projects were monopolizing views and votes. Most people just weren't reading down the page enough to see the other ideas. In the "newest" view, an idea only had a little time to be seen before it was buried by bad ideas or even spam. Also, spammy/bad ideas were invincible to downvotes by virtue of being new. I needed a middle ground that would show the top ideas while also allowing new ideas a chance in the spotlight. 'Hot' to the rescue I found reddit's Hot algorithm, translated it from Python to Ruby, and put it on the site. It was kind of working, but it seems like it was weighing "recency" too much and not weighing the project's score enough. I think Reddit has such high voting volumes that my site's small vote counts was barely moving the needle for their algorithm. I have no idea what I'm doing I don't know much math beyond basic algebra. I was pretty mystified by this seemingly simple algorithm, but I got help from an engineer friend. I found out that if I increased , I would amplify the effect of the score on the final ranking. And if I increased , I would the importance of a project's recency. sign interval decrease I tweaked the values, eyed the effect, tweaked again, and eventually settled on a setting that resulted in a satisfying blend of the best projects from both "Top Ranked" and "Newest" Hope this is useful/interesting :) Previously published on IndieHackers .

From Reddit's "Hot" ranking algorithm  to my satisfying blend of "Top Ranked" and "New"

In some ways, the adventure of GameStop’s stock was more exciting than the games it sells. In January 2021, GameStop (GME) stock rose from $18 to a peak of $483. This meteoric rise wasn’t directly related to anything GameStop did as a company. by anonymous users on Reddit to punish billion-dollar hedge funds. GME stock was chosen Three things to know: To short a stock is to sell it with the expectation the stock’s price will drop later. That way, the initial seller can buy the stock back at a lower price and profit the difference. This is a great strategy when it works, but there is no limit to how high a stock price can rise. Potential losses are theoretically infinite. Buying stock “on margin” is to buy with borrowed money, supercharging gains and losses. Finally, options allow investors to buy the right to purchase a stock later at a certain price. Investors reap a bigger return if said, “certain price” comes to pass, but they reap total loss if it does not. All three factors above came together when hedge funds targeted GME stock. By reversing the trajectory of said stock, Wall Street Bets induced losses of over $6 billion for Melvin Capital. Seeing as the hedge fund manages $12.5 billion in total, this loss is enormous on both absolute and comparative scales. Melvin wasn’t the only group to suffer, either. Short sellers had to sell parts of their portfolios to raise cash, leading to the S&P 500 falling by 2.6%. It was the worst stock market day in three months. Should regulators do anything about this? While Wall Street is angry, the SEC is only monitoring the current situation. r/WallStreetBets did nothing that was obviously illegal. Discussing which stocks to buy in a public forum is no crime. Furthermore, prosecuting anonymous users would be an uphill battle for any agency. If anyone is to face consequences, it will be the RobinHood trading app, who attempted to prevent users from buying GME before reversing the decision. They face a class-action suit for this choice. Photo Credit: NowSourcing

Shorts, Options, and Memes: How Redditors Cost Hedge Funds Billions

In this post, I wanted to share a Reddit dataset list that gained a lot of traction on social media when it was first posted. Known as “the front page of the internet,” Reddit is part forum, part social media site, where users can post virtually anything and everything. Unlike Facebook, Twitter, or Instagram, the majority of Reddit users remain anonymous. Reddit moderators strictly censor and curate the subforums, known as subreddits. However, anonymity allows people to say what they want in whatever manner they wish. Therefore, Reddit comments and posts are perfect for testing and training numerous natural language processing (NLP) models. Some of the datasets below were compiled specifically for the training of content moderation models. Therefore, the data may include explicit content. Warning: Reddit Comments Datasets 1. – This dataset contains comments from the subreddit r/cryptocurrency. The data consists of comments posted over five months from November 2017 to March 2018. Cryptocurrency Reddit Comments Dataset 2. – A simple dataset containing thousands of comments crawled from Reddit that mention Donald Trump. Donald Trump Comments on Reddit 3. – This dataset was built to help create a model that can predict whether or not a Reddit comment will receive upvotes or downvotes. The dataset includes 4 million Reddit comments: 2 million poor-performing (downvoted) and 2 million high-performing (upvoted). Reddit Comment Score Prediction Reddit News Datasets 4. – As the title suggests, this dataset was originally made to create models that could predict stock market fluctuations. The data consists of news crawled from r/worldnews from June 2008 to July 2016, as well as Dow Jones Industrial Average stock data. Daily News for Stock Market Prediction 5. – Taken from the r/worldnews subreddit, this dataset contains info about all of the news posted on this subreddit dating back to 2008. The dataset includes the following info: date created, upvotes and downvotes, title, author, and whether or not the news contains mature content. World News on Reddit Other Data from Reddit 6. – This dataset contains the top 1,000 posts of all time from 18 subreddits, in terms of upvotes. For each post, the CSV files contain the title of the post and username of the poster. Additionally, the number of upvotes and downvotes, subreddit name, url, and other metadata has been included. Reddit’s Top 1000 7. – A simple dataset containing a CSV file of 26 million usernames of Reddit users. Furthermore, the dataset includes the total number of comments each user has made. Reddit Usernames 8. – This dataset consists of over 1.3 million sarcastic comments and posts crawled from Reddit. The dataset creator has labeled the sarcasm in each statement. In addition, the username of the poster, topic, and context is also included with each statement. SARC: Self-Annotated Reddit Corpus for Sarcasm 9. – This dataset contains over 140,000 acronyms found on subreddits about science, biology, technology, and futurology. The data is in the form of a CSV file which includes the comment ID, time, username, subreddit name, and the acronym mentioned. Science and Tech Acronyms from Reddit 10. – This product dataset is a collection of the top 100 Amazon products from every subreddit that has ever posted an Amazon product from 2015 to 2017. Each CSV file in the dataset includes the name of the product, category, and URL to the product. Furthermore, the total mentions on Reddit and total subreddit mentions have been included in the data. Things on Reddit (products) The datasets above could be used to help train sentiment analysis models, text classifiers, predictive models, and other NLP algorithms. For more datasets, please view our related resources. Also published on: https://lionbridge.ai/datasets/top-10-reddit-datasets-for-machine-learning/ Lead image via Erik Mclean on Unsplash

10 Best Reddit Datasets for NLP and Other ML Projects

Welcome to the first edition of . The first product that I have chosen is Reddit — a company that thousands of startups have tried to emulate but always failed to do so. Let’s look at why that is and what’s so special about Reddit. Product Stories Did you know that the idea for Reddit was not conceived by its cofounders? Did you know that almost all of Reddit was just porn shortly after its first year? Did you know that it did not have any traffic for the first month of its launch? Well, I didn’t. And here is my attempt at retelling Reddit’s early history in as brief as I can. What’s Product Stories? “Best product people are historians of their industry” — Jeff Morris Jr “Product Stories” is my attempt to write about origin stories of some popular products and cover some of the less covered aspects of startup products like their metrics when they had just started, how long did it take to finally take off, how fast or slow were they in launching v1 of their product, initial target market and how they stumbled upon it, their failed experiments, etc. How the “Reddit” idea was born This product story starts with a “rejection”. Reddit was officially started when Paul Graham (co-founder of Y Combinator) rejected and idea for investment as part of ’s first batch. Instead, he showed them Slashdot (a social news website then) and asked them to build something similar and he would give them $10k for the summer to work on it. Alexis Steve’s Y Combinator This part of Reddit’s journey is interesting because this is one dilemma that a lot of founders face — go with their own conviction/idea or change direction and choose an idea someone else suggested. Even more interesting is that Steve and Alexis had not even started work on their “food ordering app” idea. Without even trying their own idea, they chose the idea Paul gave them. This probably made the choice easier as unless you start working on an idea, you never really get the conviction. I wonder what would have happened if Alexis and Steve had applied after 1 or 2 months of working on their original idea (and seeing some initial user validation). A lot of people generally advise founders to follow their own convictions and not listen to VCs who give certain “trending” ideas. Well, here is one example of where the opposite happened and worked out well. Another point of wondering is, what would have happened if Alexis and Steve would have stuck to their original idea of “food ordering app” and worked on it a couple of years only to realize it was early. Probably they would have been too burnt to start another company then. Lots of startup journeys end up this way because of the founder’s chose the wrong market for them. Luckily for both of them, they had Paul Graham guide them to the right market/idea. Even though the idea was a copy of an existing product, they did not blindly copy it. They took the idea from Slashdot/Delicious but realized early on that it would be the recommendation system (the upvote/downvote mechanism in their case) that would be key. The lesson here, it’s okay to copy as long as it’s mindfully done. Especially since building a consumer tech company is catching lightning in a bottle and if you try to be original all the time in all your features, you might be in for a tough ride. It’s easier to copy things that work and try to deliver the most value to your user with your use case. Another case in point, Instagram taking “Stories” feature from Snapchat, and then using to enable the next wave of content creation on Instagram. Idea to MVP: No users after the first month of launch . 20 days is really fast even by today’s standards (when a lot of standard libraries exist and development time has drastically reduced). Steve and Alexis built the prototype and launched it within 20 days To do it back in 2005, is really a splendid task. One really needs to internalise the “Launch fast and iterate” philosophy of building products in order to do that. Apparently, Paul Graham used to mail them twice a day “checking in” for progress, which made them push harder to launch (a fine line to walk for an investor, but alright!). Reddit would be a classic example of “launch fast and iterate” model of building products. This is what it looked like after the first 5 minutes of launch: Often products launch gamification as an afterthought to increase their retention/engagement, but here is an example of a successful company that did it from the start. I am sure it helped in building “the community” that eventually became their differentiator. Notice that there were no subreddits and no commenting. But they did have Karma points (Reddit’s gamification mechanism where users get points for submitting content to the site) from the very beginning. This is how Reddit looks now: Reddit now has subreddits as a way to group content/people, threads, upvoting/downvoting on comments, moderator control features, karma points, Reddit Gold and so many more features. But they started it all with just a mechanism to submit links and earn Karma points. Another point to note is that they did not have any major traffic for a month after launch (crazy by today’s standards but it was 2005. Simpler times!). Early metrics Reddit got their first couple of hundred users after a month of releasing it when Paul Graham posted Reddit’s link on his blog. But the first couple of hundred users that Reddit got, were not just any users. They were all the internet’s power users (because that was the audience of Paul’s essays). Reddit reached 1mn monthly readers (MAU) and 70,000 daily readers(DAU) 16 months after it was launched ( ; which is terrible considering for a consumer startup but thankfully Reddit persevered). 7% DAU/MAU today’s standards This is interesting as when Reddit was started, metrics such as DAU/MAU were not very popular. Retention was not the most important thing every consumer founder looked at. Analytics tools for measuring these metrics also did not exist. This ignorance I think turned out to be bliss for Reddit as well some of the other less instantly viral products of the time. Too much focus on metrics in the early days of a startup leads to a lot of self-doubt in founders. Partly because founders compare their crappy metrics (which are always crappy as it is early days of their product) with metrics of successful products. It might more productive to look at subjective user feedback instead of chasing metrics during the early days. There is still merit in looking at metrics and being aware of it, but optimizing too much of them early on might not be the best strategy for all. For a whole month after launch, Reddit had no traffic. Every day Alexis and Steve would wake up, manually submit links themselves on the site and read that news themselves only. In order to fool the users (the total count of which was 2 back then, Alexis and Steve), they would use different fake usernames to post links (in order to create an illusion that there were already a lot of users already on the site). They reached a respectable size only 16 months later when they reached 1mn MAU (Monthly Active Users), that too at 7% DAU/MAU (a metric popularised by Facebook in its early days to measure user engagement). To give you an idea, in current times a DAU/MAU of 50% , and a DAU/MAU of 20% is considered a decent metric. means that it is a daily habit Reddit fared much poorer than the current industry benchmark. It took a lot of time for them to reach a state when they became a daily habit. And let’s look at when that exactly happened. MVP to PMF: No sharp point of PMF The most interesting thing about Reddit’s journey is that — at no sharp point can you say that they hit a (a term coined by one of the VCs while analyzing another VC’s investing style 🤷) and everything changed post that. It has always been a relatively slow and steady growth for them. Reddit had only a couple of hundred users within the first 2 months. Product Market Fit Maybe they had the so-called PMF from Day 1 or they never really cared for PMF. They believed their product was what users wanted and kept on building for them not caring much for whether they are pre-PMF or post-PMF. I believe a lot of startups go through unnecessary self-doubt (and thereafter distracting experiments; often killing startups) thinking that they have not reached PMF while all they needed to do was keep on working for their users. That being said, Instagram on the other hand got 1 million users within first 2 months of launch. Snapchat had 127 users after 6 months of founders working on it, but in Dec 2011 when they find their right audience (i.e. high schools in North Carolina and Silicon Valley) they went from 2000 users to 20,000 users in a month. 100k a couple of months later. Reddit was neither an instant hit or found a sharp turning point in its journey. It has always been steady. This stark contrast between the three social apps is one of the main reasons why I wanted to start this newsletter. Often times, we get bogged down thinking there is only one path or one trait all successful companies have. As I have tried to study the histories of a bunch of them, it turns out there is none. There is no way we can determine a success formula looking at PMF path of these three companies. The only thing common is that all of their paths were different. How subreddits came into the picture? Another important aspect of Reddit’s early history is the growth of different genres inside it. While it was initially built around solving for the founder’s problem of going through various news websites to find popular trending news, it quickly expanded to other forms of content discovery. Even though Reddit founders took an already existing idea, they still looked out to solve a unique problem. Since it was the early days of the internet, they could take up vague problem statements like content discovery. This is a luxury Reddit had. Newer startups I believe don’t have this luxury. They need to pick up much narrower problem statements now. I will talk about this aspect in a few of the later editions of this newsletter as well. The prevalent system of enabling content discovery at that time was “tags”. Some of Reddit’s competitors like Delicious were already using tags. If Reddit had been too fixated on beating competition, they would have introduced the same feature. They thought of their features from first principles and came up with a new content discovery mechanism of “groups”. Instead of categorizing content, they ended up categorizing people. Their rationale was “What might be considered “politics” by one person might be tagged as “left-wing liberal bullshit” by another.” That’s when they came up with “subreddit” as a way of categorizing. This automatically created all the difference between Reddit and its competitors. While all the other companies remained content discovery platforms and died, Reddit survived because it focused on building communities. It also ended up establishing network effects for them. Now any new company that wants to replicate Reddit, will have to replicate every one of their million subreddits. Reddit and porn NSFW was one of the major early subreddits that was started. It still contributes around 10% of Reddit but back then it may have been the reason for Reddit’s continuous growth. Another example of “Do things that don’t scale”? (or probably “solve for your needs first and then find users similar to you”) “NSFW subreddit” is interesting as it was not a subreddit that users themselves started. It was a deliberate action taken by the founders. They realized that while it might not be something Reddit stands for (at that time which was social news), they still chose to go ahead with it. This may have been because those were very early days of Reddit and they would have been happy with whatever users came as long as it was growing. Which I believe is fine. Sometimes founders become too idealistic in their vision that they don’t try out anything which deviates even slightly from their vision (thanks for all the gyaan of “focus on the vision”). Sometimes at the early stage, you got to whatever it takes to get users and figure out the rest later. Its a fine line and everyone would have different definitions of where they draw the line but can sometimes do wonders. Even if it does not lead to anything meaningful for the product, it might just give enough confidence to the founder to persevere longer. You can see the chart of various subreddit’s submissions over the years: Why Reddit succeeded and others failed? Reddit was not the first social news company that was started. Yes, back then Reddit was called a . It is now called a community / social network. social news site While the inspiration of Reddit came from the utility of Slashdot (news for nerds community) and Delicious, it grew continuously while others failed. Every one of them had different reasons for their failure (which can be all individual subsequent posts). In the case of Delicious, one of the major reasons turned out to be that Delicious was being used more as a utility for bookmarking webpages, which meant its content was generally longer reads which people saved for later (as opposed to current and trending topics on Reddit). Digg died because of different reasons but one of the major ones being self-promotion on Digg. On Reddit, self-promotion — say, posting your own personal blog and voting it up from multiple user accounts you’d created — was considered spamming. On Digg, however, there were loopholes often gamed by users, networks of friends, and newsrooms. Interesting point to note here is that, Digg was more heavily funded than Reddit at that time. 4chan still exists but it has evolved into more for toxic communities which somehow Reddit has been able to handle in spite of so many unfortunate instances. Reddit was also self-policing with users themselves downvoting as they considered themselves a part of the community (exact percentage of downvoters however would be an interesting metric which I couldn’t find). This concludes my attempt at writing about the . There are a lot of other anecdotes about its early history that are worth mentioning. One of them was Reddit’s failed attempt at building Reddit TV — a video Q&A platform (a classic case of founder misalignment). I will probably talk about that later. early history of Reddit That’s it from my end. If you found this helpful, do share this with some of your friends in product-based roles. Subscribe to Product Stories to receive 1 such product story mail every week

Reddit's Origin Story and Persistent  Path to Product Market Fit

My name is Pat Walls, and I'm the founder of and Pigeon, . This is the story about how I built automation around my Reddit marketing strategy, how I auto-share ~120 blog posts/month, reached 35k karma, and reached millions of views on my posts. And why I love building automation so much! StarterStory.com a powerful CRM for Gmail A thread! I have hit the top of Reddit hundreds of times. Through all of the love and hate that I get on the platform, I think I've found that it's here to stay. After years of posting on Reddit, I've slowly built an automated system that is now 100% hands off.This is my Starter Story backend, where I save the content of my stories in a markdown format. This is great for Reddit because Reddit is also in a markdown format! While I edit and publish starter stories, I set the "reddit title" in advance. This is so I don't really ever have to think about it again. Once that's set, the system knows it should post this one to reddit, and that should be the title.I also create a "Reddit intro" and "outro." Although the content of the blog post is stored in my database, I still should introduce myself in the Reddit post. I use other variables in my database to construct this. I even tag the Reddit user (just recently starting tracking this data in my database) as they will get a notification when their post goes up. This (and other data) is filled out when the interviewee is plugging all their info. Here's another fun thing. Reddit has an algorithm that will "shadow ban" (google it) your posts if you have certain links. I have a list of links that I will strip from the markdown automatically: (this list has been built from trial and error mostly) I also need to make sure we only post one story per day to Reddit. Maybe one day I will increase this. This is our content calendar. When you see a ⭐️ that means it will be automatically posted to Reddit. This content calendar allows us to schedule WEEKS in advance with stories.Then, once a day, a worker runs that will post that story to 4 different subreddits (you can see which ones in screenshot) I run these at 15 minute intervals to avoid tripping any spam things. Here's the code. Just a few lines.I also started my own subreddit! I post ALL stories there, and we just passed 600 members. Small, but growing a little every day :) https://www.reddit.com/r/starter_story/ In addition to stripping blacklisted links for the reddit post, I also do a few other things: - strip out affiliate link params - remove blockquotes - add links for the images This gives the post a "less bloggy" feel IMO. The automation timeline! This has all been a process: 1. at first I manually posted and found what works 2. then i set reminders to do it 3. then i built the code that writes the intro (copy/paste) 4. then i configured the API 5. then i made it so i could just click "post to reddit" 6. then i created the worker This is high level, but I slowly did this and tweaked over the last year. Many bumps in the road. Automating things is an iterative process!!!! The benefits of automating? Other than the obvious benefits (save time/money) the biggest benefit is that I'm not constantly checking Reddit anymore, seeing how upvotes are going, seeing the latest hater comments, etc. I'll often check the site and find my post hitting the front page and I had no idea! Anyways, that's it. Hope you found something interesting out my fun little automation. Even though it's simple, I'm proud of it! Happy to answer any questions. What do you think of this?

How I Reached 35k Reddit Karma by Automating 120+ Posts Per Month

https://github.com/DunnCreativeSS/redditSentimentCombiner Connect to gsheets for later: g https://docs.google.com/spreadsheets/d/1rX4mniePZLIUCIFd7H2EdMioR_ip3LhtAjxJ2VclvXg/edit?usp=sharin Connect to Reddit Load top 1000 /r/bitcoin hot posts Take the raw text, split it into an array on newline chars, filter out empty strings Create an array of judged sentiments from the Natural Language Toolkkit’s Vader function for each string in array from step 4 For each of the sentiments from step 5, grab the compound (overall) sentiment rating (which is based on values attributed to keywords and etc., wort a search on your favorite engine) and check if it’s above or below a threshold value, then make them lowercase and replace ‘bitcoin’ with ‘our coin’ and ‘btc’ with ‘our ticker’ and ensure the string doesn’t start with a shady substring then append the results to our positives && negatives arrays Loop 10 times For a range of maximum 6 strings, for first positive strings then negative strings take a random choice (so long as it’s not already taken) and add it to a series of final sets of superpowerful strings Print a bunch of useful information to terminal in the process of steps 7–8 Finally add a row to Positives and Negatives gsheet for each of the 10 superstrings In an ideal world, people would use a variation of this script to load and replace keyword strings from many crypto-based subreddits, then push the final superstrings through a (good) word spinner, then post the resulting strings to create FOMO or FUD for a given perp.

Opensource Reddit Sentiment Analysis and Sentence Randomizer

Build a Reddit Moderator Bot With Standard Library, Code.xyz, and Node.js in 10 Minutes If you’re a subreddit moderator, chances are you’ve received requests from community members to delete an inappropriate comment or ban an ill-mannered user. But it’s 2018 going on 2019 — we’re in the midst of the biggest tech era and spoiled with things like AI, automation and bots. We no longer need to perform menial tasks like monitoring subreddits. Together, we’re going to build a Reddit bot that will automatically check a subreddit for flagged comments in . 3 easy steps Whether you have no programming knowledge or 15 years of professional experience, you’ll be able to deploy this bot with , the API development and hosting platform, in under 10 minutes. Standard Library If you’re not familiar with , we’re a serverless platform that enables (yes, ! Calling all PMs, designers, marketing teams, sales people, oh and engineers… 🙋) to build, ship, and integrate scalable APIs in a matter of seconds. With the help of our online editor, , you can do all of this right from your browser. Standard Library everyone everyone Code.xyz Requirements moderator account (for the subreddit you’d like to monitor) Reddit account (free) Standard Library Step 1: Get the Reddit bot template Estimated time: 30 seconds Head over to in your browser and select reddit-moderator-bot by @eileenzhong (that’s me! 🤓👋) in the Community API Sources tab: Code.xyz Name your API: Once done, you’ll conveniently land in (Standard Library’s in-browser text editor) with the Reddit bot project code. Code.xyz Step 2: Copy and paste Estimated time: 2-5 minutes This next step involves expert knowledge of the copy-and-paste skill to set some required environment variables. You’ll notice there are three sets of variables listed in your env.json file: local, dev, and release. We’ll be deploying our code to the dev environment, so we only need to worry about the dev variables for this tutorial! All fields are found in env.json: To retrieve your STDLIB_LIBRARY_TOKEN, right click between the quotation marks and select “Insert Library Token…”: Right click to access this context menu Keys prefaced withREDDIT_-* can be found on (REDDIT_USERNAME and REDDIT_PASSWORD are your moderator account’s username and password, respectively). Reddit If you don’t already have a Reddit app, register for one with your moderator account: here Copy the REDDIT_CLIENT_ID and REDDIT_SECRET_KEY: Paste both into env.json: When your env.json file is properly filled out like the above screenshot, the bot is ready for some preliminary testing. Fill out the required parameters (definitions and screenshots below): Parameter definitions

subreddit: the name of the subreddit you are moderating
threshold: what score do you want the comment to have in order to perform the requested action? 
allowBanPermission: true (allow ban requests) / false (ignore ban requests) Click Debug to launch the parameter editor Then click the “Run” button, which will do 2 things: the API and it. deploy execute Custom parameters Congratulations, your bot is live! 😎 🎉 🎊 When you hit “Run”, your bot scanned through your subreddit for any comments flagged with or and reacted accordingly by starting a vote! !delete !ban Step 3: Set it and forget it Estimated time: 1 minute Schedule the as a task main function Now, the final step is to set a task to automate this process and have your bot check your subreddit every few minutes for flagged comments. You can do this in by scheduling a task, which will automatically execute the API you just created according to a schedule of your choosing. Code.xyz Suggestion: depending on subreddit traffic, you might increase or decrease the frequency of bot invocation. A good start is to have the bot do a scan once every 5 minutes. Once you click the “Schedule Task” button in the bottom right corner, your Reddit bot will scan r/{subreddit} to and according to the schedule you have chosen. reply to any new !ban/!delete requests perform these tasks on any comments that meet the score threshold That’s it! 🌟 Now imagine… if it was this quick and painless to deploy a Reddit moderator bot, what else can do for you? Feel free to reach out with any ideas or questions: . Standard Library eileen@stdlib.com Eileen is a software engineer at Standard Library .

Build a Reddit Moderator Bot With Standard Library + Code.xyz in 10 Minutes

For those of you unfamiliar with the HODL meme, it’s an intentional misspelling of the word “Hold” that is commonly repeated during turbulent periods in the cryptocurrency market. . http://knowyourmeme.com/memes/hodl Over time, HODL has become synonymous with investors abating fear, and not selling in times of market despair. Anecdotally, I’ve noticed a flood of of HODL mentions in the past year. So I decided to analyze every Reddit comment mentioning “HODL” to examine the relationship of HODL vs. the total value of the cryptocurrency market over time (market capitalization). Here’s what I found: Late 2017 — Early 2018 was an explosive time for HODL The HODL meme spiked in popularity in December and January. This corresponded to some very large market losses in the cryptocurrency market. Originally I thought that if I overlaid the price movement of BTC, a negative price movement would match up perfectly with an increased # of HODL mentions. I was wrong. It wasn’t just market losses that increased #HODL mentions. Market volatility increases the # of HODL comments Both the days with the biggest market losses, along with the days with the biggest market gains saw a higher # of HODL comments on average. By grouping daily market performance into bins and calculating the average # of daily HODL mentions for each bin, we see the two camel humps of a bimodal distribution form. The two humps on each side matching both large positive and negative market movements saw much higher # of HODL mentions than the flat, neutral performance area. The left hump was taller than the right, meaning that on average: # HODL on losses > # HODL on gains HODL fatigue in recent months After February, the # of HODL comments has significantly diminished despite sustained market volatility. Is HODL a dying meme? Or are investors’ spirits low after a tumultuous bear market in the last few months and simply cannot muster the energy to rally behind HODL as they did before? When I posted this data on Reddit, it seemed that many who had loved the meme now had nothing but scorn for it. How can a sane person care so much about HODL? I made a trading bot called HodlBot that automatically diversifies your portfolio into the top 20 cryptocurrencies by market cap. Think of it as a long-term crypto-index that you can DIY on your own exchange account. In a 3 year back-test, the HODL 20 has significantly outperformed Bitcoin. To get started all you need is a Binance Account $200 in any cryptocurrency You can check it out . here If you want to know how HodlBot indexes the market and completes monthly rebalancing, check out the blog I wrote . here For the coders that want to see how I fetched Reddit data, continue reading… Retrieving the Data After looking around, I found the best way to retrieve Reddit data was from . A huge shoutout to PushShift. The person behind this is no less than an internet hero. He has committed to preserving, protecting, and making terabytes of Reddit data available for free. You can support him by donating . PushShift API here Comment Schema API calls & DB Insertion Counting # HODLs per Day Historical Cryptocurrency Market Capitalization Data https://github.com/dylankilkenny/CoinMarketCap-Historical-Prices Clone this and run crypto_history.py for the time period you want to fetch historical cryptocurrency market cap data for.

How Cryptocurrency Prices Affect the # of HODL Comments on Reddit

We all know that Bill Gates is awesome and we also know that is awesome as well. It’s not the first time Bill is on the portal: he is well-known for his beyond-generous Secret Santa gifts for the users and many more good deeds. Recently Bill once again joined Reddit and gave honest and cool answers to . We’ve chosen the most interesting and relevant ones so read below and enjoy! Reddit questions by redditors What are your top 3 goals currently? For the Foundation reducing childhood death and malnutrition and ending polio would be the biggest 3 things. For innovation it would be an energy breakthrough and improving the way we educate kids. For my family it is making sure the kids are ready to go to college and have a great experience there. That is more than 3 and I didn’t mention my tennis goals yet. Do you miss anything about your time at Microsoft? There was a certain urgency to everything we were doing to stay ahead that meant the speed of activity was very high. I miss this a bit. I had to take Think Weeks twice a year just to step back and see what the longer term trends were. Now I work on things like malaria where I wish there was more competition to solve the problems and things moved faster. In 2006 Bill switched to full-time work in Bill and Melinda Gates Foundation that’s aimed at enhancing healthcare and reducing poverty. Now here is a question that might interest you from the industry development point of view: How do you see automation* affecting our economy over the next 10–20 years? Automation has been driving productivity ever since the industrial revolution including things like tractors and garment making. With software this will continue to accelerate so we need to think about how we educate people for the new jobs that will emerge. Overall automation is a great thing — eventually we won’t have to work as much but we are still at least a generation away from a big change there. *As you know, there have been concerns about “robots taking the jobs” and in recent years we witness the overall boom of the automated processes and RPA — robotic process automation. So if you are thinking to take a swing in your career, you may want to consider process automation — the demand will keep growing but requirements for the specialists will be increasing as well. And if you master your skills, you can be sure you won’t have any problems with finding a challenging and rewarding job in the future. Now, back to Q&A. What technology are you most looking forward to in the next 10 years and what impact do you think it could have? The most amazing thing will be when computers can read and understand the text like humans do. Today computers can do simple things like search for specific words but concepts like vacation or career or family are not “understood”. Microsoft and others are working on this to create a helpful assistant. It has always been kind of a holy grail of software particularly now that vision and speech are largely solved. Another frontier is robotics where the human ability to move and manipulate is amazing and experts disagree on whether it will take just a decade or a lot longer (Brooks) to achieve the equivalent. Hey Bill, how much do you know about Quantum computing*, and is Microsoft delving deep into that field? I spent a month learning the math behind Quantum computing with help from the Microsoft team and a lot of online course material. I wanted to understand how Quantum computers could factor numbers so much faster than normal computers. It is amazing how the matrix math with complex numbers works — nature is doing arbitrary computation but it is tricky to access. These are early days but yes Microsoft is making large investments in quantum — particularly in handling the error problems that most approaches have. *Quantum computers are much more powerful than ordinary computers and they utilize different approach in data processing. They are based on the principles of quantum mechanics and are able to run new types of algorithms and process the data in a more holistic way, which may lead to a number of revolutionary discoveries. Hey Bill! What were you like in your early teens and what would you change about yourself back then? Did you know you wanted to be a software developer from an early age? What helped you in picking your career path? Were you always confident you’d be a successful software developer or did you have some self-doubt? I first saw a computer when I was 13 and it fascinated me then. I spent a lot of time figuring out what programming was — first Basic and then machine language. By the time I was 16 I got a job programming at TRW which helped me learn even more (skipping part of my senior year). So I was lucky to have something I loved to do and which became more important in the years ahead. I have had self-doubts about all of my skills but programming is one I have always had a lot of confidence in. *And moving on to more programming questions… Tabs or Spaces? When I code I use tabs because you want the columns to line up. For some word documents I use tabs. You want things to adjust when you go back and edit them and tabs help. *A bit of motivation from Bill to wrap the Q&A up: Hello Bill! When did you consider yourself a success? There are many domains to be successful in. I was a success in getting good grades and test scores in high school. I was a success at writing good code by my early 20s. The dream of the PC being an enabling tool came true by the 1990s. Now I am working on being a good father and the ambitious goals of the Foundation including getting rid of polio and malaria. I think it is always good to have goals where your success is in doubt and I have that in many areas including the work I do on climate change. *And the most important question of all times: Hi Mr. Gates! Do you ever like, just randomly get up when you’re home and make yourself a peanut butter sandwich? Or do you have people do that for you? I do make myself tomato soup sometimes. It is kind of a comforting food and reminds me of doing the same when I was growing up. I don’t make sandwiches much. As you see, Bill Gates is open to any discussions: from deep tech topics to random and fun questions about childhood and eating habits. We recommend you have a look and find more entertaining Q&A there. Reddit for sure is a place to check out on regular basis. at the thread Written by Dmitry Budko

Bill Gates’ Q&A on Reddit: from tomato soup to Quantum computing

Man-in-the-middle marketplaces like UpWork, Freelancer, and Fiverr aren’t the only places you can use to find work. There are other ways to find good remote projects. They get posted all the time in places like Reddit, Slack Groups, social media sites, multiple job boards, and forums too. remote freelance In this post, I’m going to share with you how to find the best remote projects that are posted on Reddit and how to apply so that you land the project. 1) Search the right subreddits. There are many subreddits that people post on when they want to hire someone for a job or project. One of my favorites to search is . The posts that you want to focus on are usually labeled with . /r/forhire [HIRING] Here are a few other subreddits that you can also check: /r/railsjobs /r/gameDevClassifieds /r/DesignJobs /r/Jobopenings Many programming languages have their own subreddits as well. Depending on the rules of the board, jobs and projects specific to those languages get posted on there frequently. 2) Skip commenting on the thread. Send a private message. Many times, hiring threads are monitored by bots that automatically remove your comment if you don’t meet a quota of karma points or account age. The best thing to do is skip commenting altogether and send a private message directly to the poster instead. This lets you put together a good cover letter and share more personal details about your work experience (with links) that will help you land the project. 3) Do your research before sending the message. Clients get a lot of applications from people who didn’t do any research at all. Applicants will only link out to a PDF resume without any cover letter. Don’t be one of those applicants. Clients will ignore you. That’s why you can easily stand out with an extra 10–15 minutes of focused research on the client and their project along with a good cover letter. A lot of times though, Reddit posts don’t have a lot of context. Click through on the poster’s account and go through their older posts and comments and see if you can learn anything more about their project. Mention it in the message that you send. 4) Leave a value-packed message with links to your best projects. The goal is to send a private message to the poster with a well-written cover letter that shows the client how you can help them with their project specifically. to learn more about how to write cover letters that win you remote freelance clients. Click here 6) Your karma doesn’t matter. I need to mention this. Your reddit karma doesn’t have any effect on whether you land a job or not. The bots might remove you if you leave a comment, but the human that will hire you is worried about one thing: If you can help them do the job. 7) It’s a numbers game You won’t get every client that you contact. Many people won’t even respond to you. That’s a part of the process. Ultimately, it’s all about how many people you reach out to on a consistent basis. Reddit is an open platform so you’ll also get a lot of people responding to the same lead you respond to, but if you follow the tips laid out above you can stand out from 95% of the people who reply with your professionalism. Avoid all of the searching and get projects sent directly to your email with RemoteLeads You can avoid all of those hours of searching for leads by subscribing to RemoteLeads. . It’s a good way to make sure you have a steady stream of potential leads coming in. You can subscribe . We find the best leads, vet them, and send them to you via email here Reddit can be a good alternative source for finding remote freelance projects. All it takes is searching for them and then reaching out to clients in the right way. The professionalism of the private message you send out to the client, along with linking to your portfolio, go a long way to helping you land more projects. All of the advice of presenting yourself professionally doesn’t get thrown out the window just because it’s Reddit. Thank you for reading and good luck on landing your next project!

Reddit News on
HackerNoon and Around the Web

reddit.com

2654 employees

Since 2005

Reddit Story Mentions

Articles Around the Web

Read More Tech Stories Related to #Reddit