Slow is smooth, smooth is fast.
The best entrepreneurs don't chase noise. They make precise moves with intentional taste. Timekeepur helps improve signal-to-noise ratio and ship what matters.
Start with inspiration
What noise costs
Noise compounds in three ways. Technical debt drains engineering hours. Design debt triggers costly redesigns. Strategy debt sends entire roadmaps sideways. The research puts a price on each.
Technical Debt
88%
of developers report AI-generated code is compounding their technical debt, shipping code that looks correct but is not reliable. Maintenance and rework still consume a third of every engineering week.
Sonar, 2026
Read the survey(opens in new tab)Design Debt
10–100×
the cost to fix a design flaw post-launch versus during planning. McKinsey found that top-quartile design companies grew revenue 32 percentage points faster than their industry peers over five years.
McKinsey, 2018
Read the analysis(opens in new tab)Strategy Debt
Only 48%
of digital initiatives meet or exceed their business outcome targets. Failed transformations waste an estimated $2.3 trillion globally each year, most of it traceable to misaligned strategy, not missing technology.
Gartner, 2024
Read the survey(opens in new tab)
THE GTM HARNESS
Diagnose, plan with your team, ship into your stack. Live connectors keep and research signal in the loop so plans stay honest. Grounded in multi-agent and preference-learning research (Park et al., 2023 and Lau et al., 2024).
Agentic Diagnosis
Turn posts, briefs, and files into a sharper read on signal and next moves.
Evidence-based
Move from signal to hypothesis to test instead of defaulting to opinion.
Team Collaboration
Keep the same source of truth, permissions, and working context across the team.
Agent Memory
Carry priorities, tradeoffs, and past decisions forward into the next session.
Auto-research
Pull in fresh context and missing angles before they become expensive mistakes.
Factory Exports
Generate decks, reports, diagrams, and prompts your team can present or ship.
Frontier Knowledge
Access frontier models when the work needs fresher coverage and stronger reasoning.
01.5 / PRAISE
I got into the private beta a few weeks ago and I'm already running diagnostics before I open Cursor. It finally feels like strategy comes first instead of me debugging a direction I never pressure-tested.
First real session felt less like 'another AI tool' and more like a sharp cofounder asking annoying (good) questions. The live research hooks are the part I keep bragging about to friends.
Signed up curious, stayed because it surfaces blind spots I didn't know I had. We're still early with it, but I've already sent the waitlist link to two other founders.