Bonai

Bonai

Indie Hackers

Launch and be seen

I spent months auditing how accurately AI systems describe businesses, with worrisome results. I was also tired of duct-taping together solutions and constantly hustling for visibility. So I'm building a fix.

Share card

Actual performance

1followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
23%23% 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, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

La
Launch Your Product. Get Seen Weekly42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Launch Your Product. Get Seen Weekly

Hacker News4
Ge
Generate never-before-seen storyboards for Rick and Morty episodes47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Generate never-before-seen storyboards for Rick and Morty episodes

Hacker News20
Uneed Community
Uneed Community64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Launch, get seen, & grow alongside other makers

Product Hunt+630Marketing
Po
Power Assertions for Clojure (as seen in Groovy)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Power Assertions for Clojure (as seen in Groovy)

Hacker News1
Firsto
Firsto29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A product launch platform where every product gets seen

Indie Hackers
Pa
Pay More, Be Seen51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pay More, Be Seen

Hacker News10
Spotlight
Spotlight55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Have you seen spotlight for Mac? I made it for Chrome

Indie Hackers2$100/moproductivity
Seen Design System & UI Kit
Seen Design System & UI Kit59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Seen Design System — Let your product be seen.

Indie Hackers1$648,000/modesign
Al
Alexa, Launch “Have You Ever”18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Alexa, Launch “Have You Ever”

Hacker News1
La
Launch by Burb46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Launch by Burb

Hacker News2