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DocSto

Don't send us your resume.
Show us how you think.

We don't hire on degrees, job titles or years of experience. We hire on problem solving. Pick a real challenge, build a solution, and show us your thinking — if it stands out, you'll talk to a founder directly.

Process

How hiring works

No resume screening. No LeetCode rounds. No aptitude tests.

1

Pick a track

Choose the challenge closest to a problem we actually have.

2

Build it

Any tools, stack, or approach you like. Take the time you need.

3

Submit your thinking

Send the solution plus how you got there — not just the output.

4

Talk to a founder

Strong submissions skip straight to a founder conversation.

5

Get an offer

No panel loop, no take-home theatre. If it’s a fit, we move fast.

Challenges

Choose your challenge

Every track below maps to a problem we actually have — not a hypothetical.

Data Pipeline Resilience

Build a scraper or ingestor for a public Indian market data source that keeps working when the source changes.

Our exchange scrapers get broken by endpoint drift, silent schema changes and undocumented rate limits on a regular basis. We want to see how you design for that reality, not just the happy path.

Failure handlingIdempotencyMonitoring & alertingSchema drift tolerance
Read the full brief

Document Intelligence Pipeline

Take a batch of company filings or concall PDFs and turn them into structured, queryable summaries.

We store thousands of filing and concall links with no extracted text or summary — this is a real, unbuilt part of our roadmap. Show us your extraction, summarization and storage design.

Text extraction qualityLLM cost controlStructured output designHandling messy PDFs
Read the full brief

Quant Screener & Scoring

Design a scoring or screening signal over fundamental data, with a backtest that holds up to scrutiny.

Real fundamental data is messy — corrupt ratios, mixed-scale financials, sparse fields. A signal that ignores that will look great in a demo and fall apart on real data.

Statistical rigorData-quality handlingBacktest honestyExplainability
Read the full brief

AI Research Agent

Build an agent that can answer a real research question about a listed company using public data.

This is close to what our own research assistant does today — tool orchestration over structured and unstructured company data, with reasoning you can actually follow.

Problem decompositionTool orchestrationReasoning qualityAnswer trustworthiness
Read the full brief

Full-Stack / Real-Time Product

Build or extend a real-time UI surface — a live dashboard, ticking watchlist, or similar — under concurrent load.

We run a live price feed to thousands of concurrent connections. We want to see how you think about architecture, state, and performance once the data doesn’t stand still.

ArchitectureReal-time state managementPerformance under loadUX polish
Read the full brief

Developer Platform / API Design

Design a new tool or improvement for a public API surface, as if a third-party developer will depend on it.

We run a public MCP server used by AI clients like Claude and ChatGPT. Propose and prototype a tool or improvement you’d want if you were building on top of us.

API ergonomicsDocumentation clarityAuth & rate-limit thinkingVersioning sense
Read the full brief

Product & Design

Redesign the experience of researching a single stock from scratch.

Less code, more judgment. Show us how you’d rethink the flow from "I want to check a stock" to "I understand it" — wireframes, prototype, or working UI, your call.

Product thinkingUX decisionsVisual designInformation architecture
Read the full brief

Multi-Channel Alert Delivery

Design a reliable, multi-channel notification layer for time-sensitive price and portfolio alerts.

Our price-alert engine currently has exactly one delivery path — email. If that one channel is missed or delayed, the user never finds out their alert fired, which defeats the point of a real-time alert.

Delivery reliabilityIdempotency & dedupChannel fallback designFailure visibility
Read the full brief

Mobile Push Notification Infrastructure

Design and prototype push notifications for our React Native (Expo) app — a real, currently-missing piece of the mobile product.

Our mobile app has prices, portfolio and watchlist screens, but no push notifications at all — a deferred v1 gap. Meanwhile the backend already generates events (price alerts, pipeline health) with nowhere mobile to land.

Token lifecycle managementBackend-to-device wiringDelivery guaranteesBattery/UX tradeoffs
Read the full brief

Defensive Hardening & Observability

Design an observability and anomaly-detection layer that would catch a compromised or misbehaving production service fast.

We run real production infrastructure with real attack surface — public APIs, scheduled jobs, and third-party dependencies. We want engineers who think about "how would we know if something went wrong" as seriously as "does the feature work."

Anomaly detection designAlert signal-to-noiseLeast-privilege thinkingIncident response clarity
Read the full brief
Evaluation

What we care about

We care about

  • Curiosity
  • First-principles thinking
  • Execution ability
  • Attention to detail
  • Taste and craftsmanship
  • Speed of learning

We don't care about

  • Degrees
  • College rankings
  • Previous companies
  • Years of experience
  • Resume keywords
Compensation

If you're exceptional, compensation will reflect that

We're building for the long term and want to work with people who are obsessed with building products that matter.

Show us what you can build

The best builders often never get shortlisted by traditional hiring systems. This is our attempt to fix that — every submission is read by a founder, personally.

Zip your solution and write-up, name the file yourname-track.zip, and attach it to the email — the button below pre-fills the subject for you.