Vi
Viezly – better code review from dependency diagram
Hacker NewsViezly – better code review from dependency diagram
Share cardActual performance
15points
1comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos75%75% 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: code review · Missing: https docs, excited, just released67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto54%54% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive45%45% 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, podcasting32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal29%29% 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, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Be
Better code review for GitHub73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Better code review for GitHub
Hacker News110Be
Better Code Review for GitHub73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Better Code Review for GitHub
Hacker News2Cr
Crocodile - Better code review for GitHub74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crocodile - Better code review for GitHub
Hacker News144
Pierre78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Joyful code review
Product Hunt+155Developer ToolsCo
CodeApprove – better code review for teams on GitHub75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CodeApprove – better code review for teams on GitHub
Hacker News17Bu
Bulwark, a code review and approval system for GitLab, using CODEOWNERS48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bulwark, a code review and approval system for GitLab, using CODEOWNERS
Hacker News1Gi
GitHub Code Review with Emacs74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GitHub Code Review with Emacs
Hacker News8CoherentCode49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The code review service
Indie Hackerscommitment-side-projectLeadEmploy20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Code Review as a Service
Indie Hackers1b2b
cubic93%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cursor for code review
Product Hunt+733Developer Tools