Glue for CTOs & Founders
Answer board-level questions about your product with data from code. Feature inventory, competitive gaps, health scores — without assembling a room of engineers.
Full product visibility from code
See how Glue gives you board-level answers without assembling a room of engineers.
Board-level product visibility
The board asks: "How many features do we have? What's our competitive position? Where are the knowledge risks?" Today, answering requires weeks of engineering interviews. Glue gives you data-backed answers from your actual codebase.
Competitive intelligence grounded in code
CI tools track what competitors say and show — websites, pricing pages, press releases. None connect this to what your codebase can actually do. Gap Atlas is the first tool that bridges that gap.
Technical health for stakeholders
78% of tech leaders struggle to align tech strategy with business goals. The problem: tech health is invisible to everyone except engineers. Glue translates complexity, debt, and risk into metrics leadership can actually understand.
AI that helps you think, not just produce
98% of product leaders use AI, but only 1.1% use it for roadmap ideas. Glue is the only AI tool that connects product strategy to code reality — the intelligence layer between decisions and implementation.
Your code stays yours
Source code never persists on our servers. Glue clones repos temporarily during indexing, extracts intelligence, then immediately deletes local copies. GitHub tokens encrypted with AES-256-GCM. We extract intelligence, not code.
The visibility crisis in numbers
wasted per $1B invested
Organizations waste $109 million per $1 billion spent on failed projects.
Source: PMI
threaten company existence
One in six IT projects goes so badly it threatens the company itself.
Source: McKinsey
average cost overrun ratio
Projects cost nearly twice their estimates.
Source: Academic meta-analysis
take 1-2 months per decision
70% of large enterprises take at least 1-2 months to make key product decisions.
Source: Productboard 2024
of companies fail Series B→C
The "great filter" for SaaS — product delivery failures are a key contributor.
Source: Development Corporate
of AI pilots fail ROI
MIT found 95% of enterprise generative AI pilots fail to provide measurable ROI.
Source: MIT / Productboard
Everything you get as a CTO
Feature inventory
Auto-discovered from code, always current. Answer 'what do we have?' with data.
Competitive position
Gap Atlas scores your code against competitor features.
Knowledge risk map
Which modules depend on one person. Where the bus factor is 1.
Automated research
AI identifies competitors, discovers features, and scores against your code.
Coverage scoring
0-100% coverage against what your code actually has.
Build-effort context
Know how hard each gap would be to close.
Health scoring
Complexity, churn, debt, and coverage scored per module.
Investment cases
Show exactly where tech debt costs the most and what fixing it would unlock.
Due diligence ready
M&A targets, investor asks, audit requirements — answered in hours.
Beyond ChatGPT
ChatGPT writes docs. Glue reads your codebase and knows your architecture.
Strategic intelligence
'What would this feature require?' 'What competitors have that we don't?'
Code-grounded answers
Every answer backed by actual files, call graphs, and dependency maps.
Zero persistence
Code cloned temporarily, metadata extracted, local copies deleted.
AES-256-GCM encryption
All credentials and tokens encrypted at rest.
Your data, your control
Delete your project and all associated data is removed.
See your product for the first time.