Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
93%93% 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: openai, open · Missing: mac, agents, macos
72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
35%35% predicted probability of success on Indie Hackers, 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

Similar products

GP
GPTBanker – map/reduce over documents of any length with OpenAI57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GPTBanker – map/reduce over documents of any length with OpenAI

Hacker News3
Ca
Cataloging the NYRB and LRB with OpenAI Embeddings46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cataloging the NYRB and LRB with OpenAI Embeddings

Hacker News3
Op
OpenAI O1 for Free55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenAI O1 for Free

Hacker News4
Pl
PluckyFilter, Reduce Web Addiction69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PluckyFilter, Reduce Web Addiction

Hacker News1
Re
Reduce that feeling of lonely coding (while in quarantine)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reduce that feeling of lonely coding (while in quarantine)

Hacker News1
Op
OpenAI Apps Handbook55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenAI Apps Handbook

Hacker News10
Fi
Finetune OpenAI Embeddings In-Browser61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Finetune OpenAI Embeddings In-Browser

Hacker News14
Br
Browser viz of OpenAI's "spaghetti" Navier–Stokes vortex (illustration)59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Browser viz of OpenAI's "spaghetti" Navier–Stokes vortex (illustration)

Hacker News5
To
TokenDagger – A tokenizer faster than OpenAI's Tiktoken68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TokenDagger – A tokenizer faster than OpenAI's Tiktoken

Hacker News281
Förbind
Förbind36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Map / reduce for webhooks

Indie Hackerscommitment-side-project