Actual performance
508upvotes
112comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto64%64% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting12%12% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Au
Automated category tagging for any company49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Automated category tagging for any company
Hacker News22Sk
Sketchbook for Teaching C49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sketchbook for Teaching C
Hacker News2Fl
Flake schemas – teaching Nix about your flake outputs44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Flake schemas – teaching Nix about your flake outputs
Hacker News32Teaching16%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Teaching
Indie Hackers
Setu-Samudram30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Setu-Samudram: Bridging teaching and learning
Product Hunt+2A
A Socratic teaching tool that follows curiosity, not curriculum38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Socratic teaching tool that follows curiosity, not curriculum
Hacker News10Benchgen15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The learning infrastructure for AI agents.
Indie Hackerscommitment-full-timeSi
Simple Redux–a bare-bones redux implementation for teaching purposes51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Simple Redux–a bare-bones redux implementation for teaching purposes
Hacker News2Ju
Jupyter Notebooks for teaching/learning Python 361%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Jupyter Notebooks for teaching/learning Python 3
Hacker News2Oy
Oyabun – resilient C2 infrastructure for pentesters58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Oyabun – resilient C2 infrastructure for pentesters
Hacker News15