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Active build · Solo · 2025 — present

TagRamp

AI-powered modern LinkedIn networks — connecting organizations from goals to meaningful business deals. Built solo since the World's Largest Hackathon (May 2025) by Bolt.new.

ShippingFounder · Solo buildMay 2025 — presentDhaka · serving global users
1
Solo founder
Bolt 2025
World's Largest Hackathon
Live
tagramp.com
Role
Founder · Solo build
Period
May 2025 — present
Location
Dhaka · serving global users
Stack
Bolt.newReactNode.jsTypeScriptLLMAgentic WorkflowMCP
§ Context

The problem

LinkedIn rewards posting, not pairing. Founders, partners, and operators want to find each other against shared goals — not scroll feeds.

TagRamp inverts the model. Organizations declare what they're hiring for, building, or buying. AI agents read those declarations and propose specific, actionable deals across the network.

§ Outcomes

What I built

  • Goal-first matching. Companies state outcomes ("we need an FDE for a Series-B GTM rebuild") instead of broadcasting jobs.
  • Agentic intros. A multi-agent layer reasons across goals, surfaces matches, drafts the warm intro, and tracks reply rates.
  • Built solo on Bolt.new. Frontend, backend, agent orchestration, and ops — one person, one weekend cadence.
  • Selected for Bolt 2025 — the World's Largest Hackathon. Public Devpost submission with demo video.
§ Reflection

What I'm learning

Solo-founding an agentic product reshapes what "engineering" means. Every system decision is also a product decision is also a GTM decision.

Bolt + Claude + agentic patterns let one person ship a product an old-world team of five would call ambitious. The bottleneck moved from code to taste.

§ Engineering

Technical Highlights

  • Agentic networking layer using multi-agent reasoning for match proposals.
  • Bolt.new-driven rapid prototyping and solo-deployment cadence.
  • Goal-driven vector search for mapping business outcomes across organisations.
§ Logic

Architecture Decisions

Decision

Goal-first vs Feed-first

Rationale

Inverting the social model (declaration of intent over broadcast of vanity) ensures that every notification is a potential deal, not a distraction.

Decision

LLM-drafted "Warm Intros"

Rationale

Cold outreach fails due to lack of shared context. The LLM reasons about both parties goals to find the specific "Why now?" that drives conversion.

§ Impact

Business Impact

  • Reduced partner search time for founders by estimated 80%.
  • Higher signal-to-noise ratio for business development compared to traditional social networks.
  • Empowers solo-operators to find enterprise-level partnerships through agentic matching.
Open to: senior FDE · Director of Eng · fractional CTO · EU/UK/Canada