98% latency reduction (9s → 180ms P99) across 40M invoices. Dual-write migration cutover completed with zero downtime.
Turn everyday output into verifiable career proof
Sync PRs, commits, and design documents into an employee-private ledger. Review and approve structured impact metrics before anything enters your official record.
Your work gets lost within weeks of shipping.
AI made engineers 2–3× more prolific, but human memory didn't scale. Between the code you write and the credit you earn, your best contributions fade away before review night.
AI multiplied your output, not your memory.
- Your work fades within weeks of shipping into production.
- The evidence scatters across GitHub, Jira, Linear, and Slack threads.
- You rebuild it from hazy recollection under tight review deadlines.
The odds are bad. The cost is worse.
Numbers straight from empirical workforce research.
Your Work Fades Fast
Ebbinghaus's forgetting curve, replicated in 2015 (Murre & Dros, PLOS ONE), shows people forget roughly 66% of new detail within 24 hours. Months later, over 80% of architecture nuances and SLA impact are gone.
The Day Never Holds Still
Developers face an average of 275 focus interruptions per day (Mark et al., UC Irvine). Without continuous ingestion, high-impact contributions scatter across Slack channels, PR threads, and Jira tickets.
Only 13% Makes the Cut
Engineers ship an average of 48 substantive PRs, bug fixes, and architecture choices per half. Without continuous capture, fewer than 6 items (12.5%) survive into self-evaluations.
Review Prep Steals Two Full Days
Engineers spend an average of 14+ hours per review cycle digging through Git commits, closed PRs, and Slack threads to reconstruct what they shipped (State of Engineering Report). Automated capture reclaims that time completely.
How raw code transforms into verifiable career proof
A disciplined, human-in-the-loop pipeline designed to capture real technical depth without creating manual work.
Sync PRs, Docs & Notes As You Build
Connect your GitHub, Linear, Jira, Slack, or terminal. Whenever you merge code, finalize an RFC, or receive peer kudos, Perfolio silently stages the work without interrupting your flow.
Extract Hard Signal from Code Diffs
Perfolio's parser extracts quantified engineering impact: latency drops, throughput increases, cost reductions, and cross-team dependencies, stripping away irrelevant commit noise.
You Control What Enters the Record
Nothing enters your permanent career ledger automatically. You review the extracted metric, refine the wording in seconds, and click Accept to cryptographically seal it.
Engineered for high fidelity and absolute privacy
Designed specifically for the nuances of modern software development workflows.
Log from Anywhere Your Work Happens
Sync via GitHub PR webhooks, Linear tickets, Jira epics, Slack praise reactions (:memo:), Google Calendar design syncs, or the offline perfolio CLI directly from your terminal.
Employee-Owned Encryption
Every record is sealed using client-side per-user encryption keys. Organization admins, managers, and HR systems cannot browse your private evidence ledger until you explicitly choose to share a report.
Automatic Chore Filtering
Perfolio automatically filters out automated Dependabot upgrades, minor documentation typo fixes, and routine lint commits so your ledger only reflects substantive engineering wins.
How engineers capture impact at every stage
See how engineers use continuous capture to build an undeniable case for their next level.
Capture system latency and scale milestones
Senior ICs use Capture to preserve the quantitative proof of database cutovers, caching optimizations, and API refactors that otherwise get forgotten after the sprint closes.
What problem does Evidence Capture solve?
What result will I receive?
How does it work with my inputs?
How does it connect to the rest of Perfolio?
What permissions, limits, and plan rules apply?
What should I do next?
Explore how the pieces connect
Every capability in Perfolio feeds into the same private, citation-backed career record.
Compile months of verified evidence into STAR accomplishment stories and promotion packets.
Map accepted evidence against your company's rubric to spot gaps months before review cycles.
Read-only integrations for GitHub, Jira, Linear, Slack, and developer tools.
Put your engineering work on the record.
Start free as an individual engineer. Review every suggestion before it enters your record, and explore with sample data first.