Te
Actual performance
54points
80comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
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.
nativeThis product was originally launched on this platform.
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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto37%37% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal23%23% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue22%22% 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, podcasting17%17% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Te
Tell YouTube Ads to Fuck Off56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tell YouTube Ads to Fuck Off
Hacker News53Yo
YouTube ads to Fuck off45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
YouTube ads to Fuck off
Hacker News4Te
Tell Me What to Do62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tell Me What to Do
Hacker News9Kitch.23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tell Kitch.
Indie Hackers1advertisingMarket My Casa21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Postcards that tell you who called
Indie Hackerscommitment-full-timeCa
Can you tell me what's wrong with this idea?61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Can you tell me what's wrong with this idea?
Hacker News4Te
Tell Your Story in Plaintext39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tell Your Story in Plaintext
Hacker News2Te
Tell Your Story in Plaintext39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tell Your Story in Plaintext
Hacker News2I
I ended up vibecoding a full fledged interpreter when ads annoyed me69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I ended up vibecoding a full fledged interpreter when ads annoyed me
Hacker News1Adaptrix44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Localizing ads with cultural nuance
Indie Hackers1advertising