Blivo
Indie HackersBuild products your users love with feedback!
The aim is to build the all-in-one platform to build products your users love. Capture ideas, build public roadmaps, and publish changelogs to engage your users.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews42%42% 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, podcasting42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal39%39% 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, revenue18%18% 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, crypto12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Mo
Mobile feedback your users will love34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mobile feedback your users will love
Hacker News70Zi
Ziplink has launched and I would love your feedback35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ziplink has launched and I would love your feedback
Hacker News2Nolt50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Feedback boards your users will love.
Indie Hackerscommitment-full-timeMy
My first webapp. Build with rails, backbonejs and lots of love.44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My first webapp. Build with rails, backbonejs and lots of love.
Hacker News36I'
I'm building ProductHunt for Actual Products: Would love feedback36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I'm building ProductHunt for Actual Products: Would love feedback
Hacker News5AppSmash52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get feedback from new users now
Indie Hackers3$2,000/moadvertising
Feeedbackr68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Build from feedback, not assumptions
Product Hunt+8Nhost46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Build Apps Users Love
Indie Hackers21b2bFreddy Feedback40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turn feedback into better products.
Indie Hackers9analyticsFe
Featurebaby – Improve the products you love47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Featurebaby – Improve the products you love
Hacker News4