Bounties pay cash for specific deliverables. Opportunities are ongoing roles on real products. Claim something and start today.
Join a video call to share your honest perspective on the product, the problem it solves, and who would use it.
Find data on the market this product operates in. How big is it? Who are the customers? Is it growing?
Find 5 people who might use this product. Ask them about the problem it solves and whether they'd pay for a solution.
Research competing products in this space. Compare features, pricing, and positioning.
Sign up as a new user and document every step. Note where you got stuck or confused.
Spend 15 minutes using the product. Write down what worked, what confused you, and what broke. Screenshots encouraged.
Build AI agents that enrich small-business lead data from the open web — firmographics, tech stack, intent signals — and feed a ranked pipeline into Viva's outreach workflow. You'll own the scraping + LLM extraction loop end-to-end.
Agentic data pipelines, evaluation-driven LLM development, vector retrieval, and shipping to a live SMB product.
Design and ship LLM-driven workflow agents for common SMB operations — invoicing follow-ups, review responses, appointment triage. You'll take a playbook, turn it into an agent, measure it on real accounts.
Tool-use agents, human-in-the-loop design, production evals, and how to scope AI features that SMBs actually trust.
Build core reader features: PWA support, reading streaks, push notifications, referral system, and article extraction improvements. Later: story clustering, email digests, and the publisher dashboard. Next.js on Cloudflare Workers.
Deep PWA development (service workers, offline caching, push notifications), content extraction/parsing at scale, and building a consumer product with real retention metrics.
Build the intelligence layer: AI-powered content classification for age-appropriate filtering, "Explain This" feature for kid profiles using Claude API, and story clustering to group articles about the same event.
Production AI/ML integration: building classification pipelines, prompt engineering for real users (including children), and embedding-based content similarity. Real deployment, not notebooks.
Build Reed's early user base: recruit dogfood testers, post in parenting and tech communities, manage social accounts, coordinate PTA outreach to schools, and prep for Product Hunt launch.
Full-stack growth from zero: dogfooding programs, community seeding, school/PTA channel development, and Product Hunt launch strategy. Real metrics, real users.
Design the reading experience: onboarding flow, article typography, parent dashboard, empty states, PWA install experience, and iOS app design. Make news feel calm and trustworthy for families.
Designing a reading-focused consumer product — typography-heavy, mobile-first, accessibility-conscious. Portfolio piece showing you can design for both adults and children.
Run user research for the family hypothesis: parent interviews, kids usability testing, content analysis, COPPA compliance review, and competitive tracking. Your findings directly shape the product roadmap.
Hands-on UX research with real families and kids. Learn structured interview techniques, usability testing with minors, privacy compliance (COPPA), and how research translates into product decisions.
Build family tree features: people finder MVP, family activity feed, WhatsApp sharing integration, and print-ready poster generation. Next.js + Cloudflare D1 + R2 storage.
Building with graph-like data structures (family trees), image/PDF generation for print, WhatsApp API integration, and performance optimization for media-heavy pages.
Drive organic growth: SEO content for surname/ancestry pages, social media content creation, ambassador program for Indian community leaders, and PR coordination for launch.
SEO strategy for a niche market (Indian ancestry), community-led growth through ambassador programs, and content marketing that serves a cultural mission.
Redesign the mobile create flow for adding family members. The current desktop-first design needs a mobile-native rethink — photo capture, quick-add flows, and touch-friendly tree navigation.
Mobile-first UX design for a data-rich application. Learn how to simplify complex data entry (family relationships) into intuitive mobile flows.
Analyze the user funnel: where do people drop off in tree creation? What drives sharing? Build dashboards, run retention analysis, and recommend product changes based on data.
Real product analytics on a live product: funnel analysis, retention cohorts, and translating data into actionable product recommendations.