Or

Organize tech debt, team and product feedback on a catalog map

Hacker News

Organize tech debt, team and product feedback on a catalog map

Hey HN! Working on organizing feedback and data that product teams use. How it works: -> Components in the catalog have teams assigned as owners; -> Feedback is mapped into appropriate catalog components; -> Instead of a messy backlog, everything is organized by product area and feedback type (ideas, tech debt, user feedback); Right now it accepts manual sources - notes from retrospective + direct catalog entries. Working to rollout slack bot and text-import with AI mapping onto catalog components (think app store, trustpilot, zendesk notes) Testing live demo and onboarding (link in header) - looking for feedback

Visit product View on Hacker NewsJan 28, 2025

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: slack, user, notes · Missing: mac, agents, macos

91%91% 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.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

16%16% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Curated map and catalog of Vermont tech companies40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Curated map and catalog of Vermont tech companies

Map for programmers: Explore tech neighbourhood -- feedback please53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Map for programmers: Explore tech neighbourhood -- feedback please

Toy Tech Debt Calculator54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Toy Tech Debt Calculator

SwiftPM Catalog25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SwiftPM Catalog

JordanRePeterson5%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

philosophy of Jordan Peterson catalog

Indie Hackers1advertising

SproutMark – Team Feedback System50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SproutMark – Team Feedback System

Debt Buddies26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tackling our debt...together!

Indie Hackers1community

Topple22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dynamite for your debt.

Indie Hackers1b2c

Tech Debt39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The optimal tech news runtime

Indie Hackers1content

Tape64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The all-in-one platform to organize your team.

Indie Hackers3$36,639/mob2b

Browse all products Analyze your launch