Description

Infodrops is an AI SaaS that automates deep‑dive research. An agentic pipeline (Node.js + LangChain/LLMs) performs iterative searches (Firecrawl), relevance scoring, extraction, follow‑ups, and recursive exploration until coverage thresholds are met. The platform is mobile‑responsive and designed for high‑signal “info drops” on demand.

Solutions

Frontend: Next.js + React + TailwindCSS + shadcn/ui, Figma → coded components, TanStack Query for real‑time hydration, markdown‑exportable reports.

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Services: Fastify (Node.js) for auth, job orchestration, Stripe subscriptions/billing; Python microservice for NLP (keyword clustering, sentiment).

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Real‑time: WebSocket progress feeds with <300 ms latency (search‑friendly equivalent to “real‑time push notifications”).

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Data & infra: PostgreSQL (Supabase) + result caching (cut duplicate crawling by 67%), Docker Compose, Blue/Green deploys to Fly.io edges, automated tests in Nx.

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Integrations: Firecrawl API (iterative search/crawl), Stripe (subscriptions/dunning), email/markdown export.

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Roles & admin: Authenticated job management with admin oversight (extensible to role‑based dashboards).

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Security & quality: API‑first design, clean separation of concerns, testable microservices, predictable deployments.

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Responsabilities

Results

- Cut average end-to-end research time from ~5 hours to 10 minutes (-95%).

- Generated comprehensive briefs from 30+ vetted sources per query, raising analyst confidence scores from 3.1 / 5 to 4.7 / 5.

- Achieved 99.96 % uptime since launch and on-boarded 120 paying teams within three months.

- Monthly recurring revenue reached mid-four-figure USD within eight weeks of MVP.

- Client feedback:

“I started this company not knowing what would happen; less than a month with Ego Eimi and I already had a working product. Amazing!” — Founder, Infodrops

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Description

Solutions

Responsabilities

Results

FAQ

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