Vibhuti Nageshwar — Marketing & Events Lead

Case studies

Proof of work.

Three case studies from my time at Olas, each showing a different way I got people to understand and show up for AI-agent products.

Case study 01 Events

Agents Unleashed: building a global Crypto × AI event series across 8 cities

A series about AI agents for builders, researchers and partners. I took it from zero to 10 in-person events, each run alongside a major conference: EthCC, Devcon, Solana Breakpoint, TOKEN2049, ETHDenver and Devconnect.

My role

Title: Marketing & Events Lead
Company: Valory AG, core contributor to Olas
When: July 2024 – March 2026

How I built it

Show up where the audience already is. Each edition ran beside a major conference, so builders, researchers and partners were already in town.
Give the category substance. Technical programming, roundtables and panels, with 84 speakers supported end to end.
Make every event outlast the room. Social, video, photography, recaps and sponsor distribution after each night.
Design moments people photograph. I creative-directed the 3D projection mapping in Bangkok, plus installations, photo booths and merch.

Results

In-person editions

Cities

12,000+

Registrations

4,500+

Attendees

42+

Launching AI-agent products on X: four campaigns, 218K+ views

I wrote the concept, positioning and copy for Olas launches on X. Each one gave AI-agent infrastructure a category name, a contrast or a worked example, so a technical announcement read as something people could picture.

Multi-announcement launch

Three AI-agent announcements in one moment

Stacked Pearl, a $1M developer accelerator and a $13.8M raise into one launch, then gave each announcement its own room in the thread.

83.6K views · 285 likes · 139 reposts

Protocol marketplace launch

The first AI Agent Bazaar

Named the category before the mechanics: agents hire agents, builders earn from specialist skills, and payments settle without people in the loop.

53.3K views · 148 likes · 81 reposts

Product launch

Own your AI: Pearl v1

Opened on the tension that AI is used by the many and owned by the few, then framed Pearl as a familiar app store where people own their agents.

46.8K views · 145 likes · 85 reposts

Brand repositioning

A simpler way to co-own AI

Compressed the product map into three verbs: own with Pearl, monetize with Mech Marketplace, access the network with OLAS.

35K views · 152 likes · 75 reposts

4.7M+

organic impressions on X across the wider content system, plus 31K+ followers. Post metrics as of August 2026.

Case study 03 Content

Explaining AI-agent products: three launch articles for the Olas blog

Three launch articles for the Olas blog. For each, I researched an unfamiliar system, worked out what a reader needed to know first, and built up to the mechanism instead of hiding it.