StepZero
Turn Reddit noise into your next SaaS idea. StepZero is a full-stack idea validation engine that crawls Reddit, extracts ranked pain points enriched with live SEO market data, and generates production-ready launch artifacts in a single guided workflow.
Role
Solo Product Engineer
Timeline
6 weeks
Core Stack
Accelerated by
cursor
windsurf
The Context
The Problem
First-time founders consistently build for ideas, not evidence. The validation loop between 'I have an idea' and 'I have proof someone will pay for it' is manual, unstructured, and slow. This gap costs weeks of misallocated engineering time.
The Solution
StepZero collapses the validation stack into an opinionated 4-step pipeline: Niche → Pain Point Discovery → Solution Ideation → Launch Kit. Each step is backed by real data—live Reddit discussions scored for high-intent signals, and keyword economics from DataForSEO. The output is not a mood board; it is a structured PRD, a GTM playbook, and an AI builder prompt ready to paste into Cursor.
System Architecture
A robust full-stack architecture designed for speed and state persistence across unauthenticated sessions.
- →Frontend & State: Built on Next.js 15. A custom AppContext acts as the single source of truth, utilizing a dual-persistence strategy showing direct Supabase sync for auth users and localStorage for guests.
- →Custom Auth Pipeline: Passwordless magic-links via Supabase Auth, overridden server-side to pipe actual emails through Resend for full deliverability control.
- →Database (Postgres): Designed a forward-compatible, schemaless event log in the discovery_steps table using a JSONB entity, allowing for zero-migration workflow additions.
- →Real-time History Sync: UI subscribes to Supabase Realtime (postgres_changes) on the ideas table to broadcast updates without polling.
Feature Deep-Dives
The 5-Stage Social Intelligence Pipeline
An autonomous pipeline that discovers, fetches, and extracts ranked pain points from live forums, orchestrated by a custom state machine.
Technical Hurdles Overcome
- ▪Implemented streaming NDJSON responses to populate the UI incrementally while staying within Reddit's public API rate limits.
- ▪Created a post-stream verification pass to cross-check LLM-extracted quotes against raw source text to virtually eliminate hallucinations.
Idempotent Webhooks & Credit Ledger
A highly secure payment processing system that handles Lemon Squeezy webhooks with built-in retry safety.
Technical Hurdles Overcome
- ▪Configured manual body parsing to consume raw request buffers for accurate HMAC-SHA256 signature verification, preventing timing and spoofing attacks.
- ▪Leveraged Postgres UNIQUE constraints to create an application-level idempotency lock, ensuring zero double-crediting on network retries.
The AI Multiplier
I leveraged AI (Claude and GPT-4) not just as a code generator, but as an architectural accelerator. Specifically, I used AI to generate complex Zod schema stubs from plain English requirements (eliminating 60% of boilerplate), draft system prompt chains for the multi-pass LLM pipeline, and debug React streaming race conditions. The core architectural decisions remained human-led.
Analytics & Outcomes
- //Ledger as Telemetry: Every API call records an action_type alongside a credit deduction, creating a queryable event log that acts as a feature-usage telemetry layer.
- //Session Funnel Analysis: A custom activity_log table captures drop-off points at the step level for granular conversion analysis.
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