WEVO, the next-gen user experience (UX) research platform, today announced the results of a survey of 1,014 American consumers regarding the status and awareness of generative artificial intelligence (AI).

Americans Believe Generative AI Will Transform Jobs, Marketing and User Experiences, According to New WEVO Survey

Last year, New Hampshire hospitals saw a surge of young children with the respiratory illness RSV. Now, local health care workers and state officials say new vaccines could make a big difference ...

New RSV vaccines could make a big difference this cold and flu season, health officials say

“I refuse the narrative that we have bad kids in Exeter and that they don’t deserve a homecoming dance,” Peggy Massicotte said. This story was originally produced by Seacoastonline. NHPR is ...

Exeter mom wants to end ban on school dances caused by ‘inappropriate student behavior’

User experience (UX) platform WEVO has launched a tool called Pulse, which combines generative AI and data from WEVO's more than a million user research participants to enable product, marketing and design teams to 'take a pulse' of user experience.

WEVO Launches Pulse for 'Instant' Idea Testing'

What makes it even more special is the Wevo shifter and a stock four-speed transmission. Related: A Restored Porsche 930 TAG Turbo With An F1 Engine Makes All The Right Noises The power delivery is amazing, churning the most from 4000 to 7000 RPM ...

Magnus Walker Rips A 930 Porsche Turbo Through The Norwegian Fjords

WEVO, the next-gen user experience (UX) research platform, today introduced WEVO Pulse, an AI-based UX analysis tool that revolutionizes the UX research market. WEVO Pulse combines generative AI and data from WEVO’s over 1 million user research ...

Introducing WEVO Pulse, an AI-based UX analysis tool that delivers instant user insights 100 times faster than existing tools

BOSTON--(BUSINESS WIRE)--WEVO, the next-gen user experience (UX) research platform, today introduced WEVO Pulse, an AI-based UX analysis tool that revolutionizes the UX research market.

WEVO Pulse provides product, marketing, and design teams feedback in cases they never had time for before, enabling them to delight customers and accelerate business growth. WEVO, the next-gen ...

WEVO Pulse provides product, marketing, and design teams feedback in cases they never had time for before, enabling them to delight customers and accelerate business growth. BOSTON--(BUSINESS WIRE)--WEVO, the next-gen user experience (UX) research platform ...

WEVO, the next-gen user experience (UX) research platform, today introduced WEVO Pulse, an AI-based UX analysis tool that revolutionizes the UX research market. WEVO Pulse combines generative AI and data from WEVO’s over 1 million user research participants to create instant,

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How Dale McGrew Keeps WeVote's Users Safe: An Open Source Story

This paper is available on arxiv under CC 4.0 license. Authors: (1) Andrew Ridden-Harper, Department of Astronomy and Carl Sagan Institute, Cornell University & Las Cumbres Observatory; (2) Stevanus K. Nugroho, Astrobiology Center & Japan & National Astronomical Observatory of Japan; (3) Laura Flagg, Department of Astronomy and Carl Sagan Institute, Cornell University; (4) Ray Jayawardhana, Department of Astronomy, Cornell University; (5) Jake D. Turner, Department of Astronomy and Carl Sagan Institute, Cornell University & NHFP Sagan Fellow; (6) Ernst de Mooij, Astrophysics Research Centre, School of Mathematics and Physics & Queen’s University Belfast; (7) Ryan MacDonald, Department of Astronomy and Carl Sagan Institute; (8) Emily Deibert, David A. Dunlap Department of Astronomy & Astrophysics, University of Toronto & Gemini Observatory, NSF’s NOIRLab; (9) Motohide Tamura, Dunlap Institute for Astronomy & Astrophysics, University of Toronto (10) Takayuki Kotani, Department of Astronomy, Graduate School of Science, The University of Tokyo, Astrobiology Center & National Astronomical Observatory of Japan; (11) Teruyuki Hirano, Astrobiology Center, National Astronomical Observatory of Japan & Department of Astronomical Science, The Graduate University for Advanced Studies; (12) Masayuki Kuzuhara, Las Cumbres Observatory & Astrobiology Center; (13) Masashi Omiya, Las Cumbres Observatory & Astrobiology Center; (14) Nobuhiko Kusakabe, Las Cumbres Observatory & Astrobiology Center. Table of Links Abstract & Introduction Observation Data Reduction and Processing Model Spectra Cross-Correlation Method Results Clouds and Hazes Implications for JWST Conclusion and Acknowledgement Appendix & References 6. RESULTS 6.1. Cross-correlation search We cross-correlated the models described in Section 4 with the processed data and searched for peaks in the phase-folded cross-correlation function at the expected KP and vsys of GJ 486b. Figs. 2 − 8 show the results of our search for H2O, CO2, HCN, NH3, CH4, Na, and the 700 K solar abundance model with condensation, respectively. These figures show the 1D cross-correlation functions phase-folded using GJ 486b’s expected value of KP as well as its negative value. We show the result of using −KP as we later use it to inject model spectra into the data in Section 6.2. We find no evidence for robust correlations between any of our models[9] and the data. The most promising feature is of H2O in the IGRINS data set (see Fig. 2), which is at the 3σ level[10] in the expected position in KP and vsys. However, it is likely that this feature is produced by imperfectly removed water lines in the spectrum of GJ 486b’s M-dwarf host star, given that it is present after applying only one iteration of SYSREM, as shown in Fig. 9. We do not understand why these residuals were not removed by SYSREM and only appear in the IGRINS data set. However, we note that they appear to be qualitatively similar to those reported by Brogi et al. (2013). In their case, Brogi et al. (2013) detected molecular absorption in the dayside emission spectrum of 51 Pegasi b on two separate occasions, but not a third occasion when strong stellar residuals were present in the data. Chiavassa & Brogi (2019) revisited this data and used 3D simulations of stellar convection to remove the stellar spectrum. This method better suppressed the stellar residuals in the third observation and allowed the planetary signal to be detected. In a future study, it may be beneficial to investigate whether the method of Chiavassa & Brogi (2019) can better suppress the stellar residuals in our IGRINS data. Regarding our nondetection of Na, Caballero et al. (2022) suggest that if GJ 486b were to have a tenuous atmosphere with a surface pressure of 10−6 bar, nonthermal processes such as surface sputtering by ions may heat its atmosphere to temperatures on the order of 10,000 K. They show that a Na abundance of 10−9 in such an atmosphere would produce transit depths of approximately 1% in the cores of the Na D lines (5889.95 and 5895.92 ˚A), which could be detected by observing only a few transits with the Calar Alto high-Resolution search for M dwarfs with Exoearths with Near-infrared and optical Echelle Spectrographs (CARMENES; Quirrenbach et al. 2014). The spectral ranges of our observations do not include the Na D lines, but our IRD and SPIRou data sets do include the Na lines at 1.138 and 1.141 µm, which are much weaker and more difficult to detect. Therefore, while we found no evidence for a nonthermal Na atmosphere, we do not consider this to be evidence for its absence. We recommend further investigation of this scenario with additional observations targeting the Na D lines. 6.2. Constraining GJ 486b’s Atmospheric Composition As we did not detect the atmosphere of GJ 486b, here we determine the abundances that our data can rule out under the assumption that GJ 486b’s atmosphere is clear. We do this by injecting cloud-free model spectra into the reduced data before processing and crosscorrelating as in Sections 3 and 5. For each in-transit frame, we injected the model transmission spectrum at the velocity given by Equation 2 if KP were replaced by its negative value. We injected the signals at −KP so that they would not be affected by any weak real planet signals that may be present in the data. To optimally combine the different data sets, we summed the log-likelihoods. Our cross-correlation to log-likelihood mapping produced an array with dimensions KP, vsys, and α. Examples of the recovered conditional (2D) and marginalized (1D) likelihood distributions after injecting a water model into the data are shown in Fig. 10. We used the marginalized distributions of KP, vsys, and α (as shown in Fig. 10) to find their most likely values and their associated 1σ errors. With this approach, the significance to which an injected signal was recovered is well approximated by how well α is constrained (Gibson et al. 2020, 2022). This method works because we assume that marginalized distributions of α that are constant at α = 0, or unconstrained, correspond to a nondetection. Therefore, we are essentially measuring how significantly α differs from zero. However, in practice, our recovered values of α were slightly less than the true values, leading to a slight underestimate of the true recovered detection significances. This is because we did not explicitly account for how SYSREM distorts an underlying planet signal when removing the stellar and telluric lines. Gibson et al. (2022) showed that this can be corrected by pre-processing the models in an analogous way to how SYSREM processes the planet signal in the data. We investigated the feasibility of using this approach by trying it for a single model spectrum and a typical grid covering ±60 km s−1 around the expected KP and vsys with step sizes of 1 km s −1 . The run time of this trial on a reasonably capable workstation[11] was 80 minutes. Our full analysis uses about 640 different model spectra, which would therefore require a total run time of about 36 days. We consider this to be infeasible for this study, so we instead report our upper limits with the caveat that they likely underestimate the true upper limits. We were able to recover some injected models for H2O, CH4, NH3, HCN, CO2, and CO, indicating that our high-resolution observations can constrain the abundances of these chemical species under the assumption of GJ 486b having a clear atmosphere. As these species have different molecular weights, line strengths, and numbers of lines, they are each sensitive to different regions of VMR-MMW parameter space. These constraints are shown in Fig 11 for H2O, CH4, NH3, HCN, CO2, and CO, respectively. Each figure shows the VMRMMW constraints for the individual data sets (SPIRou, IRD, IGRINS) and all data sets combined. Models with higher MMWs have smaller atmospheric scale heights, making them more difficult to recover. Injected models that were recovered to significances of ≥5σ and 3≤σ<5 are colored in black and gray, respectively. Injected models that were recovered to significances of 0≤σ<3 are considered to have not been recovered and are shown in light blue. This means that we can rule out model atmospheres to 5σ and 3σ in the VMR-MMW regions colored black and gray, respectively. Conversely, the light blue regions represent atmospheric compositions that are allowed by our data. We obtain strong constraints on the presence of H2O in GJ 486b’s atmosphere. Assuming a clear atmosphere, our observations rule out log10(VMR) ≥ −3 for atmospheric MMWs ≤ 5 and log10(VMR) ≥ −4 for MMWs ≤2.5 to 5σ. Therefore, our observations are inconsistent with a clear H2/He-dominated atmosphere with solar (or somewhat subsolar) H2O abundances. We can also, less confidently, rule out a clear atmosphere of log10(VMR) ≥ −2 for MMWs ≤ 16 and a clear 100% H2O atmosphere to 3σ. Our results, therefore, suggest that GJ 486b does not have a clear H2O-dominated atmosphere. This could have important implications for planetary interior models, which often predict H2O-dominated atmospheres as the most likely possibility for 3 M⊕ planets like GJ 486b (e.g., Ortenzi et al. 2020). Our derived constraints on the abundances of CH4, NH3, HCN, CO2, and CO are summarized in Table 2. These constraints show that our observations are inconsistent with a clear H2/He-dominated atmosphere with a solar CH4 abundance. However, solar abundances of NH3, HCN, CO2, and CO are consistent with our data. For cloud-free models including all the above species at solar abundances, we rule out to 5σ those with temperatures > 500 K, as shown in Fig. 12. We were not able to recover any of our injected models for C2H2, FeH, H2S, Na, K, PH3, SiO, TiO, or VO. This indicates that, regardless of their VMR or the background atmosphere MMW, our observations are not sensitive to these chemical species. For all the species considered here, the data from IGRINS on Gemini-S offers the strongest limits. This likely results from Gemini-S having a larger collecting area than SPIRou’s CFHT and the wavelength coverage (1.45-2.45 µm) of IGRINS extending further into the infrared than that of IRD (0.97-1.75 µm). Overall, these upper limits indicate that GJ 486b lacks a clear H/He-dominated atmosphere with solar abundances. However, some possible cloudy atmospheres or high-MMW secondary atmospheres are allowed by our data. [9] Including both the Exomol (Yurchenko & Tennyson 2014) and HITEMP 2020 (Hargreaves et al. 2020) opacity data for CH4. [10] Approximated as the amplitude of the cross-correlation function at the expected velocity divided by the standard deviation of the surrounding regions. [11] With the following specifications: Ryzen 5900X (12 core) CPU, 128 GB of DDR 3200 RAM, and a PCIe 4.0 M.2 SSD.

High-Resolution Transmission Spectroscopy of the Terrestrial Exoplanet GJ 486b: Results

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In 2021, hosted the first-ever awards!! HackerNoon Startup of the Year The goal of this campaign was to give recognition to the hardworking startups who pulled through the pandemic -- growing and thriving (despite all of the challenges). More than 44,000 startups were nominated all across the globe! They were selected from over 4,553 cities, with a total number of * cough * “4 billion” votes. Insane, right? To see who is a winner in each respective city, visit and pick a city. The name at the top of the list is the winner. (Awards, with compromised reviews, are under review.) startups.hackernoon.com The will announce the winners per region in their respective cities. Startups Winners Announcement Series Apparently, South America startups did incredibly well in that regard. With so many, until now, uncrowned jewels, it’s time we present to you... * drumroll* 🥳 The South America Startups of the Year Winners! Santiago, Chile Chile is known for being the most stable country to do business in Latin America, ranking 13th in The Economist’s Business Environment Index. Moreover, according to the Global Innovation Index, Chile ranks first in Latin America for innovation and is recognised as Chilean Silicon Valley with Santiago being the central city. The winner is…. QCObjects It is the 1st world class open-source framework made in Latin-America. São Paulo, Brazil And the winner of Brazil’s vibrant financial center is... Innvo Digital Their mission is to create the best ecosystem for a technology professional to work and undertake while sharing it with our customers and society. São Carlos The absolute leader of Sao Carlos seems to be: Predify Predify is an online software for optimizing pricing proccess and improving profits with AI and Big Data Analytics. Belo Horizonte, Brazil With a more than noble goal, Belo Horizone’s winner is: CM Tecnologia CM Tecnologia is an online scheduling system for healthcare providers in Brazil. Porto Alegre, Brazil With the focus on data protection, Porto Alegre, Brazil’s winner is…. Privacy Tools Privacy compliance platform, based on AI/Blockchain, which helps global companies to keep compliant with the data protection requirements. Brasil, Brazil With the focus on EdTech, Brasil is bringing us: Awari Awari is a YC-W21 company focusing on education for the Tech Industry. The company is growing at a fast pace and has gathered experts from all leading tech companies into a full education experience to prepare the next cohort of tech talent. Quito The capital of Ecuador, and also the closest capital to the actual equator, as the winner brings us: Agrodemanda The most comprehensive agricultural directory in Ecuador. Rio De Janeiro, Brazil Rio de Janeiro has more than 300 startups and is ranked 3rd in Brazil in terms of startup ecosystem development. The city is famous for the startups in the spheres of education, energy & environment and foodtech. Their winner is…. Bybrand Bybrand is the simplest way to save time and avoid frustration when managing your employee's email signatures. Buenos Aires, Argentina Buenos Aires, Argentina is not only the cosmopolitan capital with a vibrant history. It’s also Latin America’s most important port. Which makes their winner actually a very logical choice. Please meet: Liftit Liftit is the leading technology platform to automate and execute last-mile truck deliveries across Latin America. Curitiba, Brazil With a more noble mission and sustainability in mind, Curitiba, Brazil, as the winner brings us... Discrepante is the marketplace for a more human and sustainable economy Discrepante.com Florianópolis, Brazil Would you really be surprised one of the Brazil’s winners is related to football training? We neither. Please meet... Fútbol Fit Club Football FitClub® is a fitness training firm that gives fitness training to improve like a professional football player. Medellín, Colombia And the first Colombian Startup Winner is is a data intelligence solution powered by a high quality team. Meet... LogComex Market intelligence for international trade in Latin America Montevideo, Uruguay The host of inaugural FIFA world cup of 1930 comes through when it comes to innovation even in 2021. I’d like to introduce you to: Drop Technologies First electronic hand antiperspirant device Lima, Peru Lima, Peru, has in 2021 delivered some amazing results when it comes to blockchain technology. Their winner is very well deserved: RSK Labs RSK is the first open-source smart contract platform São Carlos Do Pinhal Well this is a unique case. The absolute unanimous winner of São Carlos Do Pinhal is: brain4care brain4care solution enables monitoring intracranial compliance noninvasively anywhere Blumenau, Brazil We’re sensing a theme here. Another stellar EdTech winner is coming from Blumenau, Brazil. Please meet... Uniasselvi Uniasselvi is a Brazilian distance-learning company that offers more than 60 undergraduate and postgraduate courses, in person and distance. Bogotá, Colombia Startups of Bogotá, Colombia definitely showed they’re not to be underestimated. With a very noble mission, let me introduce you to: Risü Risü is an online platform that links online consumption to donation to social institutions. Campina, Brazil If there’s one typo of business we’d single out as taking the biggest hit out of the pandemic, it would have to be small businesses. Thankfully, the winner of Campina, Brazil, operates with small businesses in mind Superlógica Tecnologias Ltda. Superlogica is a management system company created for small service businesses. Cerqueira César, Brazil Swooping half the points from the entire City, this year’s winners of Cerqueira César are InfoPrice INFOPRICE is a business intelligence company focused on physical retail pricing. Governador Valadares, Brazil The same can be said for the winners here. Let’s hear it for: Grupo KPG Saas, Payment, Manufacture, Pharmaceutical, E-commerce, Marketplace, Logistics Caxias Do Sul Known for wine making and Italian cultural influence, Caxias Do Sul brings as an interesting winner. Studio 360 Studio 360 is a proptech focused on easing the purchase experience for real state companies, brokers, and costumers. Sorocaba From Sorocaba, we have an interesting concept coming. Looking forward to seeing it further develop. Let’s meet: Quinto Quinto is a social network that represents the collective opinion of society—to help democracy evolve through technology Viña Del Mar To be a venue-oriented business and survive through the pandemic definitely deserves some recognition. In the name of that, let’s meet: SonicPollen SonicPollen, based in Chile, is a web-based booking platform that connects bands with venues and organizers. Lages Learn more about high-growth startups in Lages, South America. and the winner is…. Qualiall Qualiall develops technologies for training in operational processes such as work security, equipment maintenance, and more. Córdoba, Argentina Another gem from Argentina brings us unique agricultural solutions. Please meet: Kilimo Kilimo is a Big Data solution for water management in agriculture. São José Dos Campos, Brazil Another great agricultural solution comes this time from Brasil. Meet São José Dos Campos Startup winner: TerraMagna TerraMagna is a fintech company that focuses on risk mitigation for agribusinesses. São Leopoldo, Brazil Event-oriented businesses that have survived in the previous years should definitely bottle their perseverance and start selling it. One of those is definitely this winner: Wedy Wedy offers a one-stop-social marketplace for weddings. Pelotas, Brazil Medical scheduling platforms are definitely something we need to see more of. So glad Pelotos winner comes from this particular niche. Fácil Consulta Fácil Consulta is a booking platform that allows people to schedule an appointment with a Specialist Physician in their area. Santa Maria Could you believe how versatile the startups of South America are when we are only now coming across a game development studio? Let’s meet them Imgnation Studios Imgnation Studios is a game development studio that focuses on virtual reality. Asunción, Paraguay A FinTech solution coming from Paraguay. Meet Asunción Startup of the Year winner Vision Banco Vision Banco is a solid and growing financial institution serving the financial needs of the micro, small and medium enterprises. Caracas Venezualan food delivery app that seemed to have your heart. Meet Caracas Startup of the Year winner Yummy Inc. First Food Delivery App in Venezuela Recife A suitable combo between gaming and education, Recife Startup of the Year winner brings revolutionary solutions. Let’s meet them. Joy Street Joy Street offers develops video games focused on educational needs. Rosario, Argentina The winner of Rosario Startup of the Year award for 2021 is... Gbot Gbot is an autonomous robot that controls weeds without using agrochemicals. We also collect data in fields and generate precision maps. Vila Olímpia, Brazil The winner of Vila Olímpia Startup of the Year award for 2021 is... Seekr Seekr operates in the Information Technology sector, providing tools for managing and monitoring of brands. Barueri The winner of Barueri Startup of the Year award for 2021 is.... Glic Brazilian mhealth (web/app) platform for diabetes management Brasília The winner of Brasília Startup of the Year award for 2021 is... Ticies Ticies is a social network that helps people plan where to go with their friends, relatives and acquaintances, in all cities of the world. Juiz De Fora The winner of Juiz De Fora Startup of the Year award for 2021 is... Qranio Qranio is a gamified mobile learning platform for enterprises that rewards learning and stimulates users to engage with educational content. La Paz The winner of La Paz Startup of the Year award for 2021 is... Jukumari Advice 360 photo based market place for responsible tour operators Temuco The winner of Temuco Startup of the Year award for 2021 is... GoFeels GoFeels is the first independent hospitality network in the world. We promote collaborative work among hotels around the world. Vitacura The winner of Vitacura Startup of the Year award for 2021 is... MeatMe MeatMe delivers meats and accessories to have a culinary experience. Barranquilla The winner of Barranquilla Startup of the Year award for 2021 is... Mandaos Mandaos is a digital platform that connects companies and people with a network of independent messengers Ceará The winner of Ceará Startup of the Year award for 2021 is... Caroá Caroá is a cooperative that sells 34 varieties of vegetables, organic fruits, and vegetables. Chapecó The winner of Chapecó Startup of the Year award for 2021 is... HortiAgro HortiAgro is a seed and fertilizer market. Chile Chico The winner of Chile Chico Startup of the Year award for 2021 is... Gleengo Gleengo connects children with their favorite toys, through a tiny device and an application based on text-to-voice. Goiânia The winner of Goiânia Startup of the Year award for 2021 is... Auvo Auvo is an external teams management software. Itá The winner of Itá Startup of the Year award for 2021 is... TISSUELAB Tissuelab is a research and development center focused on biotechnology, and systems for reconstructive musculoskeletal surgery. Jardim Paulista The winner of Jardim Paulista Startup of the Year award for 2021 is... DiviCom DiviCom is a digital video networking company that designs, integrates, and markets complete systems. João Pessoa The winner of João Pessoa Startup of the Year award for 2021 is... YupiPlay YupiPlay develops and offers an educational gaming platform. La Reina The winner of La Reina Startup of the Year award for 2021 is... INTI-TECH INTI-TECH is the fastest growing renewable energy in Chile and the world's leading unconventional source. Leme The winner of Leme Startup of the Year award for 2021 is... EcoStart EcoStart focuses on manufacturing sustainable electric bicycles, fans, and accessories. Loja The winner of Loja Startup of the Year award for 2021 is... Enerwi Corporation Keeping people connected and secured through wireless charging novel solutions Manizales The winner of Manizales Startup of the Year award for 2021 is... Porter Metrics Porter Metrics has developed an automated solution for generating social media reports in minutes. Nova Lima The winner of Nova Lima Startup of the Year award for 2021 is... Biomimetic Solutions Biomimetic Solutions is an innovative tissue engineering company. Paraná The winner of Paraná Startup of the Year award for 2021 is... Laura Laura is a provider of artificial intelligence and predictive analytics platform for hospitala and clinics to prevent damage & reduce costs. Salvador The winner of Salvador Startup of the Year award for 2021 is... Sanar Sanar is a platform that focuses on being the doctor's guide and support, offering specialized content that helps in their development. Santa Catarina The winner of Santa Catarina Startup of the Year award for 2021 is... DrPOCKET Sunchales The winner of Sunchales Startup of the Year award for 2021 is... Eolo Pharma Eolo Pharma focuses on developing drugs targeting the molecular and cellular basis of inflammation-related diseases Valparaiso The winner of Valparaiso Startup of the Year award for 2021 is... Invitta Invitta transforms plastic waste into a high-performance construction material for manufacturing sustainable urban furniture. Vila Velha The winner of Vila Velha Startup of the Year award for 2021 is... OneGrid OneGrid is a developer of hardware and software solutions focused on energy management. Indaiatuba The winner of Indaiatuba Startup of the Year award for 2021 is... DWUL Energy Renewable Energy Campinas, Brazil The winner of Campinas Startup of the Year award for 2021 is... Ativy Ativy is an IT company specialized in cloud computing, data centers, IT outsourcing, service desk, and IT management. Las Condes, Chile The winner of Las Condes Startup of the Year award for 2021 is... # MuvPass Subscription services that allows it's users unlimited access to fitness classes in the best gyms and studios in Latin America. Pinheiros, Brazil The winner of Pinheiros Startup of the Year award for 2021 is... GuiaBolso GuiaBolso is a personal finance platform that empowers people to take control of financial well-being. Rio, Brazil The winner of Rio Startup of the Year award for 2021 is... EmCasa EmCasa is a vertically-integrated platform that helps customers buy and sell a home in Latin America, starting in Brazil. Guayaquil The winner of Guayaquil Startup of the Year award for 2021 is... Sabroso Online platform for LatAm's enterprises to order low-cost meals Jundiaí The winner of Jundiaí Startup of the Year award for 2021 is... Sintecsys Sintecsys offers a fast and effective detection, reducing losses and costs with fire brigades. Minas Gerais The winner of Minas Gerais Startup of the Year award for 2021 is... Rizoflora Biotechnology Rizoflora Biotechnology is a producer of biological product designed for nematodes control. São Caetano Do Sul The winner of São Caetano Do Sul Startup of the Year award for 2021 is... Wevo 1 iPaaS in Latam - Enabling companies to be truly digital companies with APIs, systems and data integrated into a single platform Canoas The winner of Canoas Startup of the Year award for 2021 is... ContaÁgil ContaÁgil facilitates and reduces bureaucracy in accounting routines of companies. Chile The winner of Chile Startup of the Year award for 2021 is... Unight Unight is the future of nightlife social media. Israelândia The winner of Israelândia Startup of the Year award for 2021 is... Matchpool Matchpool is a platform that creates human connections. La Plata The winner of La Plata Startup of the Year award for 2021 is... Pixivus Pixivus offers a community-based application that enables its users to collect, store, and share pictures of events. Novo Hamburgo The winner of Novo Hamburgo Startup of the Year award for 2021 is... Devorando Devorando offers an online food ordering system and menus available in restaurants based in Brazil. Pernambuco The winner of Pernambuco Startup of the Year award for 2021 is... Redu Redu is a distant learning platform which is built on a social networking structure. Providencia The winner of Providencia Startup of the Year award for 2021 is... # TrainFES TrainFES is a medical Devices for the rehabilitation of people with paralysis. Ribeirão Prêto The winner of Ribeirão Prêto Startup of the Year award for 2021 is... AllyHub Ally is a sales distribution channel technology that connects Schools and Service Providers with Education Agencies. Santa Cruz De La Sierra The winner of Santa Cruz De La Sierra Startup of the Year award for 2021 is... Mobi Latam Mobi Latam is a clean energy startup that focuses on transportation systems based on electric mobility. Santana De Parnaíba The winner of Santana De Parnaíba Startup of the Year award for 2021 is... MercadoLivre.com is an e-commerce technology company providing solutions to individuals and companies buying, selling, and more online. MercandoLivre.com More Information If you’re a winner, please answer ! If you’re a reader, participant, just a curious individual, consider answering one of our interviews . this interview here Read the FAQs about or . Startups here here To see all of the winners you may visit , pick any city and view the name that appears at the top. this site If you’re interested in partnering with us, we invite you to look through some of these or reach out to our business department. unique sponsorship options Perhaps creating your very own tickles your fancy or maybe you have a whole new idea for how we can partner! writing contest Thank you to all of our sponsors! We truly appreciate your contribution to the tech world and thus the future! The Startups Awards are sponsored by: , , , , , , , , , , Blockster Brex FreeCodeCamp LaunchDarkly Coil Udacity Udemy Vercel Asia Pacific Transgender Network Bybit Everscale Network This post was written/compiled by Shreya Kundu and Katarina Andrejević! If you have any questions or concerns or would like to report a discrepancy please email ellen@hackernoon.com.

Meet the Winners of Startups in South America

Have you ever been scared that someone will copy your idea and take advantage of you? After all, what’s stopping others from not giving you credit, defacing your creation and billions on the back of your idea? making Every entrepreneur who feels this fear lives in a paradox. To make your project work you know you have to share it with as many people as possible. This will help you gather feedback and to get the promotion going. Right? But you can’t shake off the fear that if you share your idea before you are ready. someone will rip you off So you end up keeping your idea close to your chest. And the new paradox sets in. business If you share your idea and someone steals it, or even worse, no one likes what you offer, then you are out of ideas. And without ideas you are doomed for the rest of eternity. And if you don’t share your idea, you don’t gather feedback, and you don’t start promoting your project. In the meanwhile you invest months of your life and loads of money to build your creation. And you find out it’s not that high in people’s priority list. When that time comes, most of the time its way too late to correct course. So the paradox has you cornered. What can you do to get over it? I’ve on how to protect your idea while keeping it open. But let’s face it, this fear is not only about others stealing from you, but also about you running out of clever ideas to offer. already talked This paradox can be solved from the moment you learn how to find new ways to discover what people need and how to offer your skills, products and services. Since this blog is about building a collaborative business, hopefully once you know how to come up with profitable ideas, you’ll use these ideas to make your project open source, collaborative and make a bigger positive impact in the world. Ok, enough said about ideas. It’s time to kiss goodbye to this fear. Here are the six ways you will find profitable businesses right away: Finding Valuable Ideas I/ Ask your friends and family You don’t have to come up with all the ideas on your own. Other people’s feedback can be really helpful. Here’s an email you can send to at least one close person: Subject: Quick question Hi [Name], I’m looking for some new business ideas. You know me well so I was wanted to ask you what kind of business you think I’d be good at? Thanks! [Your Name] Your friends and family will come up with ideas you probably wouldn’t have thought of on your own, and they’ll feel flattered that you reached out to them. II/ Teach what you know Photo by Aaron Burden, Unsplash Now let’s see what you’re great at. Imagine you had to teach someone else how to do what you do best. What is that? That’s a good thing to consider doing as a business. In my case it could be: How to organize a Crowdfunding campaign How to find business ideas suited to your skills How to validate a business How to create healthy habits How to ride a unicycle downhill How to juggle … You see that everything here doesn’t have to have great potential for business. There is probably not that many people looking to learn how to unicycle downhill, but if you have some of these keep them in your list, it can spark further ideas down the line. III/ What products can you customize? Photo by Wesley Caribe, Unsplash What products or apps are selling like crazy? Arduinos, 3D Printers, Smartphones, Wordpress Templates, Game Consoles, Pokemon Go (god forbid), etc… How can you accessorize these or other popular products? It’s easier to sell to a large group of people who’ve already spent money on a product or service. Imagine selling a protective case to someone who just bought a smartphone. of customizations: Some examples -A guide for kids or for older people teaching how to create cool projects with an Arduino -Customizing an Arduino so you can plug bananas to the board and make music (that’s what does) MakeyMakey -Accessories to enhance Open Source projects like if you are in healthcare OpenPump if you are in car design OSVehicle if you are into agriculture OpenFarm Or anything on or Wevolver WikiFab -Wordpress Templates or Plug-ins -A local service to create modular Wikihouses -Tutorials to regrow a forest in your backyard with ’s method. Afforestt -Check what products are popular on Amazon, Etsy, Sparkfun or any other E-commerce with reviews and customize them: Check the reviews where people complain about any feature or lack of feature. Improve the feature Sell it : For further improvement you can make the product Open Source and/or . Bonus circular For example: In Amazon’s cutlery best-sellers, the bamboo cutting board sells really well. One of the main complaints about it is that it bends after washing, so if you can make one that doesn’t bend, you’ll have a ton of demand. Make it Open Source and you may be able to create a whole community around Open design for kitchen items, while selling them physically. This method is not for everyone, so if it’s taking too long to find a great idea with this method, don’t worry. Go to the next step. IV/ Go where people are spending money Photo by Juan Ignacio Tapia, Unsplash If you are stuck on finding an idea to turn into a business, a great way to find ideas is by going to people who already . want to spend money Most of the time beginning entrepreneurs try to instead of solving a problem people . get people to pay for their solution already have in their life In places like , or any other gig platform there are millions of people every day sharing the problems they want to see solved. And they already want to pay money for it. Craigslist Upwork If you are a developer you might go to a bounty board like , or looking for bugs in , , , and many more. Bountysource Github Mozilla Google Facebook Follow these steps: Go to the gigs sections of the platform of your choice Look for what people want solved If you can solve it, you are in business Too many times we are making it harder on ourselves. People all around us already want to pay for solutions to their problems. V/ Check what the crowd is asking for Photo by Desi Mendoza. Unsplash As we saw in the previous method, it’s much easier to sell something when people already want it, even if they haven’t paid for it yet. To do this, work backwards from a problem people want solved. Then create the solution they may be willing to pay for. Potential users are everywhere asking for solutions (products / services) on message boards, Facebook posts, tweets, forums, etc… , if you are thinking of making durable clothing, you can go to ’s Facebook board and see what people are asking for in the comments. In you can see there is interest in durable baby clothing that can still be sold once the baby has outgrown them. For example BuyMeOnce this thread Once you solve a problem you‘ve found, the good thing is that you know exactly where to go back and find your first customers. The steps here are: 1/ Go to a large message board online where people ask for solutions and actively saying they want things. This could be: Reddit’s Somebody Make this any large forum where people ask for help with something related to your topic or a Facebook group related to your topic like we mentioned before. 2/ Look for the first 2 things that interest you. If you are still not finding anything, move on. It’s supposed to get your idea creativity going. Let’s move on! VI/ List out 3 of your own ideas Photo by Tamarcus Brown, Unsplash You probably already had ideas of your own before reading this post. Now is the moment to list them. What are problems you have that you’d like to scratch for yourself? ___________________ ___________________ ___________________ Now your list should be pretty full. If you still don’t like any of the ideas you came up with, you still have four choices: Go help 1 friend for free with anything they need help with. This is really effective to find ideas to work on. If you got responses from the friends you reached out to in method #1, you can go work on them. If you are already in business, but selling many lines of products without earning enough, what is your best selling product? Try selling more of that until you become sustainable and diversify into another line. If people are repeatedly asking you for something you do well, see if people find it valuable enough to pay for it. By now you should have a pretty big list of things to sell. So it’s time to narrow down your ideas to the one you will validate. But just one last note of caution before you narrow down to the one idea you want to try: . Make sure you have access to the people you want to help If you want to sell coats to go to the arctic circle, but only have access to people who live in tropical beaches, your project will probably never succeed because nobody will ever buy. Only sell ideas if you have access to the market, and preferably in an area where you are already experienced. That will make things much easier for you. Wrapping up Now you know how to have loads of products and services to offer, even if you go Open Source and collaborative. How does it feel? Still scared about sharing your ideas with others? If you want to validate that people want to buy your ideas, you can see how you can validate any idea in 48 hours. go to this post If you liked this post, and would like to get more articles on how open source can help your business or project you can . You’ll also get my guide to find a profitable idea, and the techniques to find customers for your project. sign up here

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We  recently launched Rio, our new framework designed to help you create  web and local applications using just pure Python. The response from our  community has been overwhelmingly positive and incredibly motivating  for us. With the praise has come a wave of curiosity. The most common  question we’ve encountered is, “How does Rio actually work?”  If you’ve been wondering the same thing, you’re in the right place!  Here we’ll explore the inner workings of Rio and uncover what makes it  so powerful. A Fresh Layouting System When  it comes to building modern apps, components are just the beginning,  it’s the layouting that pulls them together into a cohesive,  user-friendly interface. In our last topic, we took a closer look at  components, the essential pieces of any app. Now, let’s shift our focus  to the layout system that arranges them harmoniously. Designing a layout  system isn’t a one-size-fits-all task; different frameworks bring  unique strengths, with CSS often at the center of debate. As we designed  Rio’s layout system, we aimed for something Pythonic, simple, flexible,  and efficient — a system that keeps developers focused on their app’s  function, not the complexities of positioning. Here, we’ll break down  the core principles behind Rio’s two-step approach to layouting, where  each component starts by defining its own natural size before the  available space is thoughtfully distributed. Take a look at our playground (Layouting Quickstart), where you can try out our layout concept firsthand with just a click and receive real-time feedback. What Makes a Great Layout System? Each UI framework approaches layouting differently, all with their own unique strengths and quirks. There’s of course the polarizing incumbent,  CSS, but also the many systems built into popular frameworks like  Flutter, QT, and others. Before we got to designing our own, we took a  step back to understand what makes a great layout system. Here are some  key principles we identified: Pythonic: Rio embraces Python’s simplicity. No numbers encoded as strings or complex unit declarations. For example, width=10 is preferred over width="10px". This isn’t just cleaner, but also aids type checking tools and allows for easy mathematical operations.
Simple: The system should be intuitive, even for developers without a deep background in UI design. Rather than a tangled set of rules and exceptions, it should be governed by a handful of principles that are applied consistently.
Flexible: From basic layouts to complex, nested structures, the system needs to handle them all. Templates and restrictive built-in patterns won’t cut it.
Efficient: Especially when targeting the web, performance is key. A good layouting system should be automatically convertible to CSS, maybe with some JavaScript sprinkled in occasionally for dynamic calculations. Rio’s Approach: Two-Step Layouting We’ve decided on a two-step layouting system that balances simplicity and flexibility. Here’s how it works: Step 1: Natural Size Calculation First, each component determines how much space it needs to fit its content. We call this the component’s “natural size.” For some components this is simple. For example, rio.Switch has a fixed size, so that is also its natural size. But not all components are that simple. Take a rio.Row  for example. The row itself doesn't need any space, but it needs to  request enough space to fit its children. So the natural width of a row  is the sum of the natural widths of its children, plus any spacing  between them. Another more in-depth example is rio.Text. It's size depends on a variety of things, such as its text content, font size, whether the font is bold, etc. This  process starts at the leaves of the component tree, i.e. first  components without any children are calculated, then their parents, and  so on, until the entire tree has computed its natural width &  height. Step 2: Space Distribution Once  each component has determined its natural size, we must decide how to  allocate the available space. For example, in a large window with only a  button, should the button be centered, aligned to one side, or  stretched? There isn’t a real reason to prefer one over the other. We are solving this, by simply giving all  space to the button. If you don’t want for that to happen, you can  explicitly set the button’s alignment, and Rio will take it into  account. Example Imagine a simple rio.Row containing a rio.Text and a rio.Switch.  First, we need to calculate the natural size of all components. We'll  start with components that don't have any children, so in this case the rio.Text and rio.Switch. The rio.Text will calculate its natural size based on its text content, font size, etc. The rio.Switch has a fixed size, so that is also its natural size. Now that all children have had their natural size calculated, the rio.Row  can get to work. It's natural width is the sum of the natural widths of  its children (plus any spacing) and its natural height is the maximum  of the natural heights of its children. Finally,  we need to distribute the available space. Since the window itself  always has a single child, it will pass all available space to that  child — in this case the rio.Row. The row will then distribute the space to its children; But how? Since there’s only so few components in the view there is likely too much space available. Thus, the rio.Row  will have to decide how much space to pass to each child. Since we  always want all components to have enough space to fit their content  ("natural size") we'll allocate each child that much space. Then, if  space is leftover we can distribute that proportionally. Ta-da! All  components now know how large they are. Their positions also follow from  this. Since this is such a common use-case, rio.Row also honors the grow_x and grow_y attributes of components. If a component is marked to grow,  and superfluous space is available, all space will be given to that  component. If there are multiple components that are marked to grow, the  space will be distributed proportionally just between those components. Implementation The  system described above is what we call our reference layouting system.  It isn’t actually implemented like this in code, but rather as a set of  CSS rules, that result in this exact behavior. This allows our layouting  to run at maximum performance, because it relies on the browser’s  native layouting engine. The described algorithm is nonetheless useful,  as it guides Rio developers to how a component should behave. It’s just  that this behavior is then achieved by internal CSS rules rather than  the algorithm itself. Best  of all, you’ll never have to see a single line of CSS. All of this is  handled by Rio internally, so you can focus on building your app. Limitations and Trade-offs While  Rio’s layout system is powerful and flexible, it isn’t perfect. In the  interest of full transparency, we’d like to share some limitations that  we’ve found: Some layouts cannot achieved just using CSS. Notably, when using the proportions attribute of rio.Row or rio.Column, JavaScript jumps into action to help out, because we are not aware of any pure-CSS way to achieve our desired behavior. (If you're a CSS magician and know a way, reach out!)
There are occasional layouts that cannot be realized with this system. One such situation that we’ve found is to have a row containing an icon and text, while that text is both centered and has wrapping enabled.
This sounds like a simple case, but no combination of parameters yields the desired result. Aligning the text to 0.5 (center) won't center the icon. Same when using the justify attribute. Aligning the entire rio.Row will make the row take up as little space as possible, thus squishing the text.
We’ve had some discussions about introducing a “preferred size” that would solve this, but it’s not in Rio yet. Github: https://github.com/rio-labs/rio Website: https://rio.dev/ We  recently launched Rio, our new framework designed to help you create  web and local applications using just pure Python. The response from our  community has been overwhelmingly positive and incredibly motivating  for us. With the praise has come a wave of curiosity. The most common  question we’ve encountered is, “How does Rio actually work?” If you’ve been wondering the same thing, you’re in the right place!  Here we’ll explore the inner workings of Rio and uncover what makes it  so powerful. “How does Rio actually work?” A Fresh Layouting System When  it comes to building modern apps, components are just the beginning,  it’s the layouting that pulls them together into a cohesive,  user-friendly interface. In our last topic, we took a closer look at  components, the essential pieces of any app. Now, let’s shift our focus  to the layout system that arranges them harmoniously. Designing a layout  system isn’t a one-size-fits-all task; different frameworks bring  unique strengths, with CSS often at the center of debate. As we designed  Rio’s layout system, we aimed for something Pythonic, simple, flexible,  and efficient — a system that keeps developers focused on their app’s  function, not the complexities of positioning. Here, we’ll break down  the core principles behind Rio’s two-step approach to layouting, where  each component starts by defining its own natural size before the  available space is thoughtfully distributed. Take a look at our playground ( Layouting Quickstart ), where you can try out our layout concept firsthand with just a click and receive real-time feedback. Layouting Quickstart What Makes a Great Layout System? Each UI framework approaches layouting differently, all with their own unique strengths and quirks. There’s of course the polarizing incumbent ,  CSS, but also the many systems built into popular frameworks like  Flutter, QT, and others. Before we got to designing our own, we took a  step back to understand what makes a great layout system. Here are some  key principles we identified: polarizing incumbent Pythonic: Rio embraces Python’s simplicity. No numbers encoded as strings or complex unit declarations. For example, width=10 is preferred over width="10px". This isn’t just cleaner, but also aids type checking tools and allows for easy mathematical operations. Simple: The system should be intuitive, even for developers without a deep background in UI design. Rather than a tangled set of rules and exceptions, it should be governed by a handful of principles that are applied consistently. Flexible: From basic layouts to complex, nested structures, the system needs to handle them all. Templates and restrictive built-in patterns won’t cut it. Efficient: Especially when targeting the web, performance is key. A good layouting system should be automatically convertible to CSS, maybe with some JavaScript sprinkled in occasionally for dynamic calculations. Pythonic: Rio embraces Python’s simplicity. No numbers encoded as strings or complex unit declarations. For example, width=10 is preferred over width="10px" . This isn’t just cleaner, but also aids type checking tools and allows for easy mathematical operations. Pythonic: width=10 width="10px" Simple: The system should be intuitive, even for developers without a deep background in UI design. Rather than a tangled set of rules and exceptions, it should be governed by a handful of principles that are applied consistently. Simple: Flexible: From basic layouts to complex, nested structures, the system needs to handle them all. Templates and restrictive built-in patterns won’t cut it. Flexible: Efficient: Especially when targeting the web, performance is key. A good layouting system should be automatically convertible to CSS, maybe with some JavaScript sprinkled in occasionally for dynamic calculations. Efficient: Rio’s Approach: Two-Step Layouting We’ve decided on a two-step layouting system that balances simplicity and flexibility. Here’s how it works: Step 1: Natural Size Calculation First, each component determines how much space it needs to fit its content. We call this the component’s “natural size.” For some components this is simple. For example, rio.Switch has a fixed size, so that is also its natural size. But not all components are that simple. Take a rio.Row for example. The row itself doesn't need any space, but it needs to  request enough space to fit its children. So the natural width of a row  is the sum of the natural widths of its children, plus any spacing  between them. rio.Switch rio.Row Another more in-depth example is rio.Text . It's size depends on a variety of things, such as its text content, font size, whether the font is bold, etc. rio.Text This  process starts at the leaves of the component tree, i.e. first  components without any children are calculated, then their parents, and  so on, until the entire tree has computed its natural width &  height. Step 2: Space Distribution Once  each component has determined its natural size, we must decide how to  allocate the available space. For example, in a large window with only a  button, should the button be centered, aligned to one side, or  stretched? There isn’t a real reason to prefer one over the other. We are solving this, by simply giving all space to the button. If you don’t want for that to happen, you can  explicitly set the button’s alignment, and Rio will take it into  account. all Example Imagine a simple rio.Row containing a rio.Text and a rio.Switch .  First, we need to calculate the natural size of all components. We'll  start with components that don't have any children, so in this case the rio.Text and rio.Switch . rio.Row rio.Text rio.Switch rio.Text rio.Switch The rio.Text will calculate its natural size based on its text content, font size, etc. The rio.Switch has a fixed size, so that is also its natural size. rio.Text rio.Switch Now that all children have had their natural size calculated, the rio.Row can get to work. It's natural width is the sum of the natural widths of  its children (plus any spacing) and its natural height is the maximum  of the natural heights of its children. rio.Row Finally,  we need to distribute the available space. Since the window itself  always has a single child, it will pass all available space to that  child — in this case the rio.Row . The row will then distribute the space to its children; But how? rio.Row Since there’s only so few components in the view there is likely too much space available. Thus, the rio.Row will have to decide how much space to pass to each child. Since we  always want all components to have enough space to fit their content  ("natural size") we'll allocate each child that much space. Then, if  space is leftover we can distribute that proportionally. Ta-da! All  components now know how large they are. Their positions also follow from  this. rio.Row Since this is such a common use-case, rio.Row also honors the grow_x and grow_y attributes of components. If a component is marked to grow ,  and superfluous space is available, all space will be given to that  component. If there are multiple components that are marked to grow, the  space will be distributed proportionally just between those components. rio.Row grow_x grow_y grow Implementation The  system described above is what we call our reference layouting system.  It isn’t actually implemented like this in code, but rather as a set of  CSS rules, that result in this exact behavior. This allows our layouting  to run at maximum performance, because it relies on the browser’s  native layouting engine. The described algorithm is nonetheless useful,  as it guides Rio developers to how a component should behave. It’s just  that this behavior is then achieved by internal CSS rules rather than  the algorithm itself. Best  of all, you’ll never have to see a single line of CSS. All of this is  handled by Rio internally, so you can focus on building your app. Limitations and Trade-offs While  Rio’s layout system is powerful and flexible, it isn’t perfect. In the  interest of full transparency, we’d like to share some limitations that  we’ve found: Some layouts cannot achieved just using CSS. Notably, when using the proportions attribute of rio.Row or rio.Column, JavaScript jumps into action to help out, because we are not aware of any pure-CSS way to achieve our desired behavior. (If you're a CSS magician and know a way, reach out!) There are occasional layouts that cannot be realized with this system. One such situation that we’ve found is to have a row containing an icon and text, while that text is both centered and has wrapping enabled. This sounds like a simple case, but no combination of parameters yields the desired result. Aligning the text to 0.5 (center) won't center the icon. Same when using the justify attribute. Aligning the entire rio.Row will make the row take up as little space as possible, thus squishing the text. We’ve had some discussions about introducing a “preferred size” that would solve this, but it’s not in Rio yet. Some layouts cannot achieved just using CSS. Notably, when using the proportions attribute of rio.Row or rio.Column , JavaScript jumps into action to help out, because we are not aware of any pure-CSS way to achieve our desired behavior. (If you're a CSS magician and know a way, reach out!) proportions rio.Row rio.Column There are occasional layouts that cannot be realized with this system. One such situation that we’ve found is to have a row containing an icon and text, while that text is both centered and has wrapping enabled. This sounds like a simple case, but no combination of parameters yields the desired result. Aligning the text to 0.5 (center) won't center the icon. Same when using the justify attribute. Aligning the entire rio.Row will make the row take up as little space as possible, thus squishing the text. 0.5 justify rio.Row We’ve had some discussions about introducing a “preferred size” that would solve this, but it’s not in Rio yet. Github: https://github.com/rio-labs/rio Github: https://github.com/rio-labs/rio https://github.com/rio-labs/rio Website: https://rio.dev/ Website: https://rio.dev/ https://rio.dev/

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