Actual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto89%89% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent · Missing: mac, macos, cursor76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue29%29% 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, podcasting22%22% 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, intuitive15%15% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Lira Edu50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Customer Success Gamification
Indie Hackers5$1,200/moeducation
ChurnPilot64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The AI Co-pilot for customer success teams
Product Hunt+8Happi50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI-Powered Customer Success for small teams
Indie Hackers1b2bPr
Principles for Success64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Principles for Success
Hacker News3
CAMCESS - AI Customer Success28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI - Customer Success And Account Management
Product Hunt+2AI
AI Agents Benchmarking and Competition41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Agents Benchmarking and Competition
Hacker News2OA
OAuth for AI Agents37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
OAuth for AI Agents
Hacker News847
47jobs – A Fiverr/Upwork for AI Agents43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
47jobs – A Fiverr/Upwork for AI Agents
Hacker News20SA
SAIA – SCUMM for AI Agents25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SAIA – SCUMM for AI Agents
Hacker News3Ro
RoverBook – PostHog for AI Agents25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RoverBook – PostHog for AI Agents
Hacker News4