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Case study · Company · Turnix

Prospetto.ai

A B2B sales-intelligence platform serving 200M+ verified contacts.

RoleFeature engineerYear2026Visit live site
Prospetto.ai live site
The problem

What we set out to solve

Sales teams waste hours stitching together company and contact data from a dozen tools, and most of it is stale. The platform had to unify 200M+ contacts across 600+ data sources, keep them fresh, and make enrichment and outreach fast enough to actually use in a workflow.

The approach

What I built

  1. 01

    Enrichment at scale

    I built enrichment modules on a Redis + BullMQ job pipeline that resolve a company from sparse input and hydrate it with firmographic data normalised across hundreds of sources, persisted across a hybrid Postgres + MongoDB store.

  2. 02

    Email finder

    Built the email-finder path that derives and verifies contact addresses, so reps get a usable address rather than a guess — reusing the same verification discipline as Verifox.

  3. 03

    Personalised outreach

    Added OpenAI-backed outreach modules that turn the enriched data into tailored, per-prospect messaging instead of generic blasts, with Stripe-metered usage.

The outcome

What it delivered

200M+
Verified contacts
600+
Data sources
3
Modules I shipped

Hono · TypeScript · PostgreSQL · MongoDB · Redis · BullMQ · OpenAI · Stripe

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