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Actual performance

Did not reach leaderboard

Launch Intel predictions

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BetaListSuited for BetaList early-adopters · Missing: web3, just like, small businesses
57%57% 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 · Missing: mac, agents, macos
56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: reviews, intuitive, videos
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, just released, open source
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, created, podcasting
26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: api, 000, profitable
22%22% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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No
NoList, a To-Do List that is not a list.46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NoList, a To-Do List that is not a list.

Hacker News6
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Drillbit. Who's on your mailing list?46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Drillbit. Who's on your mailing list?

Hacker News4
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List of PhDs that produced the most PhDs46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

List of PhDs that produced the most PhDs

Hacker News6
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List of PhDs that produced the most PhDs46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

List of PhDs that produced the most PhDs

Hacker News1
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List of Svbtle Writers68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

List of Svbtle Writers

Hacker News2
Tiker
Tiker28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your to-do list, done for you

Indie Hackerscommitment-full-time
welm
welm41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Prioritized to-do list

Indie Hackerscommitment-side-project
List My Mrr
List My Mrr40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrustMRRAnalytics