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LGTM — Looks Good To Meow

Security-first AI code review that reads your whole repo, not just the diff

from349 INRFree planFree trial
LGTM — Looks Good To Meow screenshot, image 11/8

Overview

Hey,
We built LGTM because I kept watching PRs sail through review with leaked secrets and broken pipeline steps — the stuff generic AI reviewers just don't look for.
So LGTM leads with security: multi-agent PR review, 16 CI/CD detectors, and a Runtime Watchdog for what static analysis misses. And instead of reviewing the diff in isolation, it reads your whole repo (tree-sitter + PageRank) so it actually understands context.

It's live and free to try → looksgoodtomeow.in

Short description

LGTM reviews every pull request with specialized AI agents, runs 16 CI/CD security detectors, and ships a Runtime Watchdog that catches what static analysis misses. Unlike diff-only reviewers, it reads your entire codebase (tree-sitter + PageRank) so reviews understand context, not just syntax.🐱

Sources behind this listingSee source links, recorded dates and owner corrections.

Observed facts come from public pages. Founder-edited facts are supplied by the verified owner. AI-inferred facts are model interpretations; derived facts are calculated from other data. A source link lets you check the current page. It does not guarantee the fact is still current.

Dates show when a record was saved. Some older records use the listing’s update date; they are not proof of a fresh check. Missing source records are shown explicitly.

TaglineSecurity-first AI code review that reads your whole repo, not just the diff
Founder-editedRecorded Source: looksgoodtomeow.in
DescriptionHey, We built LGTM because I kept watching PRs sail through review with leaked secrets and broken pipeline steps — the stuff generic AI reviewers just don't look for. So LGTM le...
Founder-editedRecorded Source: looksgoodtomeow.in
Starting price349 INR
Founder-editedRecorded Source: looksgoodtomeow.in
Free planYes
Founder-editedRecorded Source: looksgoodtomeow.in
Free trialYes
Founder-editedRecorded Source: looksgoodtomeow.in
Pricing modelfreemium
AI-inferredRecorded Source: looksgoodtomeow.in
Plan: FreeFree
AI-inferredRecorded Source: looksgoodtomeow.in
Plan: Go₹999/mo
AI-inferredRecorded Source: looksgoodtomeow.in
Plan: Pro₹1999/mo
AI-inferredRecorded Source: looksgoodtomeow.in
Plan: Max₹9999/mo
AI-inferredRecorded Source: looksgoodtomeow.in
Plan: EnterpriseCustom
AI-inferredRecorded Source: looksgoodtomeow.in
SummaryLGTM reviews every pull request with specialized AI agents, runs 16 CI/CD security detectors, and ships a Runtime Watchdog that catches what static analysis misses. Unlike diff-...
Founder-editedRecorded Source link unavailable

Pricing

Pricing recorded 7 September 2026Pricing page
Free
Free
monitors
1
scans lifetime
5
repos connected
1
reviews per month
10
  • Try LGTM on one repo
  • No card required
  • Community support · 5–7 business days
Go
₹999/mo
Flat
monitors
3
repos connected
5
scans per month
25
reviews per month
100
  • Everything in Free, plus
  • AI Review
  • Email support · 72h
Pro
₹1999/mo
Flat
monitors
10
repos connected
20
scans per month
100
reviews per month
200
  • Everything in Go, plus
  • Auto-review on every PR
  • Email support · 24h
Max
₹9999/mo
Flat
Enterprise
Custom
Enterprise tierFree tier: 10 reviews / month, 1 repo connected

Who Is It For

Best for

Developers, startups, and open-source maintainers looking for efficient code review and CI/CD security solutions.

Strengths & Weaknesses

Strengths
Excellent value for moneyGenerous free planGreat developer experienceResponsive customer supportAI features that actually help
Biggest weakness

Limited to GitHub integrations and may not cater to teams using other version control systems or platforms (AI-inferred; may be outdated. Founders can correct this)

Classification

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Community

1
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Henrikdirectree staff24 Jul 2026

LGTM reads your whole repo using tree-sitter and PageRank rather than just the diff, which seems tailored for developers and maintainers needing context-aware security checks. What led you to prioritise whole-repo analysis over more traditional diff-focused reviews in your design?

How we sourced this: Observed fields () were crawled from https://looksgoodtomeow.in/ when recorded. Source links and dates are available above. AI-inferred fields () were generated by gpt-4o-mini and are always labelled, never presented as measured fact. Founder-edited fields () have been corrected by the verified owner. Last updated: 7 September 2026. Site availability checked: 6 September 2026.