Rekognito
Indie HackersPrivacy-friendly user recognition for your website
I have a very specific problem at my full-time SaaS business that I want to solve with Rekognito. To get automated insights about the B2B users who sign up for my website.
Share cardActual performance
2followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: friendly, users · Missing: plus, platform, intuitive39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Us
User-friendly privacy for families36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
User-friendly privacy for families
Hacker News1Sc
Scrapy Middleware for Named Entity Recognition with Stanford CoreNLP56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scrapy Middleware for Named Entity Recognition with Stanford CoreNLP
Hacker News12Ho
How privacy-friendly is your site?51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How privacy-friendly is your site?
Hacker News200InstaVids20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
InstaVids is a user-friendly platform for downloading media.
Indie Hackerscommitment-side-projectCh
Chappy, a friendly, privacy first chatbot37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Chappy, a friendly, privacy first chatbot
Hacker News4I
I made GarWin, a free and user-friendly Garmin Badges database42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made GarWin, a free and user-friendly Garmin Badges database
Hacker News3Ads With Ethics38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Developer & privacy friendly ads without user tracking
Indie Hackers1advertisingSp
Splitzy – Dead simple and privacy-friendly website A/B testing43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Splitzy – Dead simple and privacy-friendly website A/B testing
Hacker News21No
Nobara Project aims to make Fedora user friendly40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Nobara Project aims to make Fedora user friendly
Hacker News2Br
Brancher – A user-friendly PyTorch module for probabilistic inference29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Brancher – A user-friendly PyTorch module for probabilistic inference
Hacker News96