Feedbeggar
Indie HackersCollecting client feedback has never been easier
Collecting bug reports from clients is a hassle for ever agency. Feedbeggar solves this by embedding a visual bug reporting tool on your website that your clients can use to send issues directly into your ticket system
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: visual · Missing: mac, agents, macos71%71% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive63%63% 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, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% 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, crypto11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Ko
Korabo – splitting proceeds has never been easier44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Korabo – splitting proceeds has never been easier
Hacker News1Po
Polling audiences is tough, I made it easier51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Polling audiences is tough, I made it easier
Hacker News1Po
Polling audiences is tough, I made it easier51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Polling audiences is tough, I made it easier
Hacker News1Vp
Vpython – easier virtualenv43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Vpython – easier virtualenv
Hacker News3On
OnTime?. Flappy birds is easier43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
OnTime?. Flappy birds is easier
Hacker News2Tu
Tutoring made easier than ever31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tutoring made easier than ever
Hacker News2Tr
Trab, Powerful client feedback tools49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Trab, Powerful client feedback tools
Hacker News4Aligno40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pinned design feedback. No client signup.
Indie Hackers1communicationSaveaiprompt38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Better prompts should be easier to find—and easier to keep
Indie Hackers1$100/moaiI
I couldn't find an impala client, so I made one41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I couldn't find an impala client, so I made one
Hacker News1