Glue is product intelligence for product leaders. We give you a living view of your product — what's been built, what's missing, what's at risk — without reading a line of code.
Scroll through to see how we bridge the gap between product decisions and code reality.
Product leaders make the most consequential decisions in a software company — what to build, when to ship, where to invest. But 95% of them can't read the codebase those decisions affect. Every question requires interrupting engineering and waiting days. The result: wrong estimates, missed competitive gaps, specs that cause rework, and roadmaps built on guesses.
Glue connects your GitHub repos, tickets, and tools into a single living model of your product. Then it makes that model accessible to everyone — in plain English, with no technical knowledge required. Ask what features you have. See what competitors ship. Write specs with the exact files and risks included automatically.
Glue is built for product leaders at growing SaaS teams — PMs, VPs of Product, Heads of Product, and CTOs at Series A through Series C companies with 20-200 employees. Teams where the codebase has outgrown anyone's ability to hold it in their head.
Connect your GitHub repos. Glue's AI indexes every file, function, dependency, and commit. In 2 minutes you can ask your first question. In a day, you have auto-discovered features, competitive gap analysis, and code-grounded specs.
Your source code never persists on our servers. Glue clones repositories temporarily during indexing, extracts metadata (features, dependencies, ownership patterns), then immediately deletes local copies. GitHub tokens are encrypted with AES-256-GCM. We extract intelligence, not code.
Sahil Singh saw the same pattern repeatedly: product and engineering working off completely different maps.
Chat, Feature Discovery, Gap Atlas, Dev Plans, Roadmaps, Team Insights — all code-grounded.
Model Context Protocol integration with 60+ tools for deep code understanding.
TypeScript, JavaScript, Java, Kotlin, and Python with deep symbol extraction.
From question to code-grounded answer. Compare that to 2-3 days of asking engineers.
Connect GitHub, wait for indexing, and ask your first question about your codebase.
The people making product decisions and the people writing code are working off completely different maps.
Each PM question triggers a 23-minute focus reset for the engineer. Multiply by dozens of questions per week.
Critical product knowledge lives in people's heads, not in systems. When they leave, the knowledge leaves too.
Ask any question about your codebase in plain English. Get answers with file references — in seconds.
AI auto-discovers every feature in your product. Always current, always real.
Competitive intelligence grounded in code. See what competitors have, scored against your codebase.
Implementation specs with exact files, dependencies, and patterns. Engineers trust them.
Import tickets, auto-triage, generate specs, create dev plans. One pipeline from idea to implementation.
Who knows what. Where knowledge is concentrated. Which modules have a bus factor of one.
See what's been built, write specs that don't cause rework, scope features in hours instead of weeks.
See technical debt, knowledge risks, and onboarding bottlenecks across the entire codebase.
Answer board-level questions with data: feature inventory, competitive position, technical health.
OAuth in 30 seconds. Select repos and branches. We handle the rest.
Files, symbols, dependencies, commits, routes — full codebase intelligence in 30-60 minutes.
Plain English questions, code-grounded answers. Feature inventory, competitive gaps, and specs — instantly.
Code cloned temporarily, metadata extracted, local copies deleted immediately.
All credentials and tokens encrypted at rest with industry-standard encryption.
Delete your project and all associated data is removed. No lock-in.
Your product has answers. You just can't see them yet.