Fa
Actual performance
4points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto58%58% predicted probability of success on BetaList, based on ML models trained on real launch data.
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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive49%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, podcasting38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos37%37% 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, personal31%31% 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, revenue26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Em
Embed curl60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Embed curl
Hacker News1Yo
YouTube Channel Embed Plugin32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
YouTube Channel Embed Plugin
Hacker News1Em
Embed Neovim in the Browser59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Embed Neovim in the Browser
Hacker News2Vi
VizFiddle – Embed simple visualizations55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
VizFiddle – Embed simple visualizations
Hacker News11Ni
Ninepolls – embed a poll on your website45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ninepolls – embed a poll on your website
Hacker News1Re
Reposi – Barebones website to embed your repositories54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Reposi – Barebones website to embed your repositories
Hacker News1No
Now you can embed your eskiis in your website53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Now you can embed your eskiis in your website
Hacker News2RE
REPLNote – Embed Clojure in your notes57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
REPLNote – Embed Clojure in your notes
Hacker News1Pr
Programmable browser you embed in your app57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Programmable browser you embed in your app
Hacker News21ki
kibana-rack – Embed Kibana in Rack/Rails applications46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
kibana-rack – Embed Kibana in Rack/Rails applications
Hacker News1