WHY NOW

The cost of fragmented tools.

Your team uses 10+ tools that don't talk to each other. Every week without a connected system costs you time, money, and competitive ground.

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8sto any answer

10+tools replaced

2×faster triage

Capabilities

What changes on day one

One system. Full product visibility. Measurable results.

8 seconds vs. 2-3 days.

"Do we have SSO?" "What's causing the checkout errors?" "How is onboarding adoption trending?" Today: Slack thread → engineer interruption → 2-3 day wait → maybe an answer. With Glue: type the question. Get an answer backed by code, error logs, and analytics in 8 seconds.

8s average response— Answers grounded in code, errors, and analytics — not guesses.

Zero interruptions— Engineers keep their 23-minute focus blocks. PMs get instant answers.

Cross-tool intelligence— Answers draw from code, Sentry, PostHog, Jira, and Slack — connected.

See your entire product — not just fragments.

Today you check Sentry for errors, PostHog for usage, Jira for tickets, Slack for context, GitHub for code. None connected. Glue connects them. Error spikes map to features. Usage trends tie to workflows. Tickets link to architecture. One system, full picture.

Errors → Features— Sentry errors automatically mapped to the features they affect.

Usage → Workflows— PostHog analytics tied to actual product workflows.

Always live— Not a quarterly report. A living system that updates continuously.

See your entire product — not just fragments.

Specs that engineers actually trust.

70% of project failures trace to requirements. Not bad engineers — bad specs. Glue generates specs from your actual architecture — code, error patterns, usage data. Exact files. Real patterns. Risks flagged before anyone estimates.

Architecture-aware— Specs name the exact files, follow your patterns, flag dependencies.

Dependency-aware— Hidden dependencies surfaced before the sprint, not during.

Pattern-matching— Plans follow your team's conventions, not generic advice.

Agents that eliminate operational toil.

"Alert me when error rates spike." "Draft a ticket when adoption drops." "Post a weekly health report to Slack." Describe what you want in plain English. Glue builds the workflow — pulling from code, errors, analytics, and tickets — and runs it automatically.

Plain English setup— Describe the goal. Glue figures out the data, triggers, and actions.

Cross-tool actions— Agents read from code, errors, analytics — then act on Slack, Jira, email.

Three permission levels— Auto-fire for alerts. Auto-draft for review. PM-initiated for strategy.

New engineers productive in weeks, not months.

3-6 months to full productivity. Weeks reading outdated docs. 'Just ask Sarah' as the onboarding plan. Glue cuts ramp time 4×. New hires explore the entire product — code, errors, analytics — from day one.

Self-serve exploration— Ask the product, not senior engineers. No interruptions required.

Living docs— Auto-generated documentation that updates as code changes.

$240K saved per hire— Eliminate the negative-value onboarding period.

New engineers productive in weeks, not months.

The numbers

The numbers don't lie

$109M

wasted per $1B invested

Failed projects start with fragmented visibility — no one sees the full product.

PMI

70%

of failures → requirements

Specs written without full product context are the root cause.

Fohlio 2024

17 hrs

per dev per week

Lost to context-switching between fragmented tools. That's 42% of every engineer's time.

Stripe

52%

of PM time is firefighting

More than half of PM hours chasing information across disconnected tools.

Pragmatic Institute

3.8/10

competitive selling score

Teams can't sell against what they can't see. The gap costs $2-10M/year.

Crayon 2024

66%

of projects exceed budget

Root cause: no one sees the full product picture.

McKinsey

Details

The specifics

[ 01 ]

8s average response

Answers grounded in code, errors, and analytics — not guesses.

[ 02 ]

Zero interruptions

Engineers keep their 23-minute focus blocks. PMs get instant answers.

[ 03 ]

Cross-tool intelligence

Answers draw from code, Sentry, PostHog, Jira, and Slack — connected.

[ 04 ]

Errors → Features

Sentry errors automatically mapped to the features they affect.

[ 05 ]

Usage → Workflows

PostHog analytics tied to actual product workflows.

[ 06 ]

Always live

Not a quarterly report. A living system that updates continuously.

[ 07 ]

Architecture-aware

Specs name the exact files, follow your patterns, flag dependencies.

[ 08 ]

Dependency-aware

Hidden dependencies surfaced before the sprint, not during.

[ 09 ]

Pattern-matching

Plans follow your team's conventions, not generic advice.

[ 10 ]

Plain English setup

Describe the goal. Glue figures out the data, triggers, and actions.

[ 11 ]

Cross-tool actions

Agents read from code, errors, analytics — then act on Slack, Jira, email.

[ 12 ]

Three permission levels

Auto-fire for alerts. Auto-draft for review. PM-initiated for strategy.

[ 13 ]

Self-serve exploration

Ask the product, not senior engineers. No interruptions required.

[ 14 ]

Living docs

Auto-generated documentation that updates as code changes.

[ 15 ]

$240K saved per hire

Eliminate the negative-value onboarding period.

The hard questions.

No fluff. Just answers.

Every week with fragmented tools costs you. Connect them.

Get Started — Free

No credit card · Setup in 60 seconds · Works with any stack