Encord Active
Indie HackersOpen source active learning toolkit
Working with many leading AI companies, we found that a lot of models struggle in production. This culminated in the release of our open source active learning toolkit to help improve their data quality and performance.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, open · Missing: mac, agents, macos84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue25%25% 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, crypto3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Active Forks27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Newsletter with open source repositories and active forks
Indie Hackers1communityAc
Active circles43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Active circles
Hacker News1HEIJI Active54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Activewear Wanita
Indie Hackers1$560/moclothingOp
Open-source toolkit for ML model evaluation and active learning65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open-source toolkit for ML model evaluation and active learning
Hacker News11Co
Covid-19 Active Cases Around The World49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Covid-19 Active Cases Around The World
Hacker News1Ac
Active learning and model explainability for document classification45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Active learning and model explainability for document classification
Hacker News2Eduflow41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Active learning experiences online
Indie Hackerscommitment-full-timeMi
MinIO introduces Multi-site active active replication45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MinIO introduces Multi-site active active replication
Hacker News1Go
Google's Active Learning Playground57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Google's Active Learning Playground
Hacker News7Mo
MonkeyLearn 3.0, custom extractors, active learning, new API and more46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MonkeyLearn 3.0, custom extractors, active learning, new API and more
Hacker News7