Actual performance
171upvotes
11comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto83%83% 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, macos51%51% 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, personal44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive21%21% 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, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Te
TenProblems – democratizing academic debates for the 2020s32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TenProblems – democratizing academic debates for the 2020s
Hacker News1Ca
Cassyni – Relaunching Academic Seminars41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cassyni – Relaunching Academic Seminars
Hacker News14David Johnson40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Academic Writers
Indie Hackerscommitment-full-time
Tibio
Track your moods and find out the sources of unpleasant sensations
BetaListAc
Academic Writing AI GPTs22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Academic Writing AI GPTs
Hacker News1Broccali21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Broccali sources interesting products from AliExpress
Indie Hackerscommitment-side-projectResea AI27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Academic AI Agent
Indie Hackerscommitment-full-timeBr
Brave Goggle that upranks news sources that are politically centrist50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Brave Goggle that upranks news sources that are politically centrist
Hacker News9St
StorIt – Find academic Journals related to the site you're on41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
StorIt – Find academic Journals related to the site you're on
Hacker News2Ph
Phdtree – create and search your academic genealogy37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Phdtree – create and search your academic genealogy
Hacker News23