F
Flow

Turn your scattered commits into a Staff-Level portfolio in 15 seconds.

Stop manually writing ATS bullets. Connect your GitHub and let Flow's AI extract your architecture, dependencies, and elite engineering impact instantly.

> No credit card required. Analyzes in seconds.
FLOW_INFERENCE_ENGINE
RAW_COMMITS
$ git log -n 3
commit 8f3a9b...
refactor: implement redis caching layer to reduce db load
commit 2c1e4d...
feat: add connection pooling for postgres driver
commit 9a8b7c...
fix: resolve race condition in websocket auth
ANALYZING
PORTFOLIO_OUTPUT
System Optimization & Resiliency
  • Architected a Redis caching layer, significantly reducing Postgres database load during peak concurrency.
  • Implemented connection pooling, improving query throughput and stabilizing database connections.
  • Resolved critical race conditions in WebSocket flow, ensuring zero-downtime messaging.
~/projects/api-service
$ git log --oneline -5
e7f2a1c added redis cache to the api
b3d9e0f fix connection pool timeout
a1c8b7e refactor auth middleware
9f4d2a3 add rate limiting to endpoints
c6e1f8b update express to v5
$ cat package.json | grep -A5 dependencies
"express": "^5.0.0",
"ioredis": "^5.3.2",
"jsonwebtoken": "^9.0.0",
"pg": "^8.11.0"
Detected Skills
Node.jsRedisExpressPostgreSQLJWT

What most developers put on their resume.

API Service

Backend Infrastructure · High-Performance Caching

Technical Summary

Engineered a high-performance caching layer using Redis, reducing API latency by 60% and enabling the system to scale to 10k+ concurrent users. Designed secure authentication middleware with JWT and implemented connection pool optimization for PostgreSQL.

Impact

  • •Reduced p95 API response time from 340ms to 120ms through strategic Redis caching
  • •Implemented rate limiting that prevented 2.3M+ malicious requests per month
  • •Architected connection pooling strategy that cut database costs by 40%

Core Technologies

Node.jsRedisExpress v5PostgreSQLJWT AuthRate Limiting

Engineering Managers don't buy tools; they buy impact. Flow translates your raw commits into architectural decisions, showing employers you understand scalability, system design, and business value.

WHY FLOW EXISTS

Your code tells a story.
Flow translates it.

Three pillars that turn raw repositories into a career-defining technical identity.

01 — The Pipeline

Seamless GitHub Integration

Don't spend hours writing resume bullets. Connect your GitHub, select your best repositories, and let our Llama 3.1 70B engine analyze your commit history, architecture, and dependencies. Flow automatically generates a pitch-ready, ATS-optimized developer profile in seconds.

Powered by NVIDIA NIM
02 — The Edge

Built for the Top 1% of Opportunities

Whether you are applying to a YC-backed startup, preparing for a Staff-level technical interview, or building a portfolio that stands out to elite engineering managers, Flow gives you the exact technical framing you need to bypass the noise.

YC · FAANG · Staff+ Roles
03 — The Impact

Shift from “Coder” to “Architect”

Companies don't just want to see what languages you know; they want to see your impact. Flow's AI acts like a Senior Engineering Manager, translating your raw code into business value, architectural decisions, and scalable system design—showing employers exactly how you think.

Architectural Storytelling
THE PROBLEM

Engineering requires precision.
Your resume shouldn't be guesswork.

We built Flow because developers spend thousands of hours architecting elegant, highly concurrent systems, only to spend days agonizing over how to translate those technical achievements into ATS-friendly bullet points.

Most portfolio tools simply scrape your README.md and call it a day. They don't understand the difference between a minor CSS tweak and a zero-downtime database migration. Flow does.

The Old Way vs. Flow

X
Manual TranslationDigging through years of Git history to remember what you actually built.
X
Generic TemplatesUsing cookie-cutter SaaS builders that completely ignore technical depth.
✓
Automated IntelligenceLlama 3.1 70B directly analyzes your commits, abstracting complexity into elite engineering impact.

The Flow Advantage

Why senior engineers are abandoning traditional portfolio builders.

Standard Tools
  • Superficial README.md scraping
  • Manual input of tech stacks
  • Generic "I built a web app" phrasing
  • Zero understanding of system architecture
  • Soft, consumer-grade UI
PROPRIETARY ENGINE
Flow Analysis
  • Deep inspection of file trees & package.json
  • Automated tech stack & dependency resolution
  • Transforms commits into STAR-method bullet points
  • Highlights concurrency, caching, and CI/CD pipelines
  • Strict, developer-native mechanical aesthetic

Engineered for Frictionless Execution

From raw source code to elite portfolio in three mechanical steps.

01. Connect

OAuth via GitHub

Securely authenticate. We fetch your public repositories instantly using parameterized, read-only API calls. No write access required.

02. Select

Curate Your Repos

Hand-pick your most complex projects, or simply hit our "Select First 10" utility for maximum velocity.

03. Decode

Real-Time Analysis

Watch our Llama engine process your architecture live with an integrated mechanical timer. No black boxes. Just raw inference.

[ USER REVIEWS SOON ]

We are currently processing early access developer profiles. Authentic user feedback will be published here shortly.

The Blueprint Ahead

We are continuously deploying updates to our inference pipeline. Here is what is actively in the build queue.

➜feat(export):Automated LaTeX & PDF generation matching the blueprint theme.
➜feat(ci/cd):GitHub Action webhook to auto-rebuild your portfolio on `git push`.
_feat(ai):Interactive technical interview prep based on your repository's exact architecture.