Vlad Listopadov
Built two commercial functions from zero. Sports prediction markets would be the third.
Two companies co-founded from zero. I've written the product specs, hired the engineers, done the outreach myself, and built the internal tooling my own teams ran on. These days most of that runs through LLMs — this site is vibe-coded, and so is the market map below.
Moscow-based, open to relocation. Full-time.
Fluent English. Every client I've closed in the last six years has been international — sourced, negotiated and signed in English, end to end.
Impact
Numbers that matter.
Companies co-founded
Closed end-to-end
Order-book snapshots analysed
Retention across a 200-account book
Featured — Built unprompted, before applying
Sports prediction markets: 4 hypotheses pre-registered, 2 killed
github.com/VladList/sports-event-flow-pipeline- Killed segments with numbers rather than opinions. Sharps and syndicates missed the depth bar — $23.2K against $25K — and I flagged the verdict as fragile instead of rounding it into a win. Brokers as a sales channel: 8 with a direct line against 12 needed. Knowing where not to start is most of the job.
- Found the segment that survives and the angle behind it: sportsbook hedging clears its threshold 62× ($6.27M median depth per venue and game against $100K). But FanDuel and DraftKings are building their own market making, so the conversation is build-vs-buy, not "we'll give you liquidity".
- Vibe-coded end to end with Claude Code: 731,580 order-book snapshots from Kalshi and Polymarket, thresholds dated in a YAML config before any data, verdicts written only by script, every decision made after seeing the data logged with a reason.
- Documented its own limitations in the README instead of hiding them — the hedging number is an upper bound, props stayed untested because of a collection gap, and nine things that went wrong are listed with how each was caught.
Experience
A track record of building.
2023 — Present
LUKKY
Co-Founder — built the product, then went and got the users
Built a B2B revenue engine from zero in a market with no established playbook.
Key Achievements
- Built the exchange partnership channel myself — the company's only inbound source. Fee rebates in exchange for client referrals, client projects brought to listing in return. 8+ standing partnerships, each one a 2–3 month negotiation with trading, listing and finance stakeholders on the other side.
- Closed 200+ clients personally before a sales function existed — built the lists, wrote the outreach, signed the deals. ~$3.5K average contract, ~5 days from first contact to signature, 70% retention across the whole book.
- Scaled revenue $150K, then $250K, then $300K across three years — ~$700K cumulative, clients on four continents.
- Specified and shipped the trading system end to end, both halves of it: the engine running the market-making algorithms, the API layer connecting to client accounts across 100+ exchanges, and the panel traders operate every market from. Cut time on trading operations by 65%. Hired the first engineers and ran the build with no product function to hand it to.
- Handed the motion over rather than holding it — documented the playbook, trained a team of 10+, stepped off day-to-day delivery.
2020 — 2023
BR Group
Account Manager → Sales Manager → Head of Business Development
Promoted twice in 34 months. Started executing trades on the desk, ended owning the BD function. ~$1M in revenue at an $8–9K average contract.
Key Achievements
- Built and worked the agency's crypto creator roster as a sellable product line: screened influencers across YouTube, X and Telegram, opened the relationships directly, agreed formats and rates with each, and packaged them into placements sold on to token issuers. A roster of 100 creators.
- Tested audience and partnership hypotheses as experiments rather than plans — ran new segments and partner types in the field, kept the ones that produced deals and dropped the rest. The segments that survived became the team's standing territory.
- Sold personally before there was a team to sell, then hired and trained the reps who took it over — while continuing to carry a book of my own throughout, so nothing was handed to the team that I had not closed myself first.
- Started on the desk running client trading operations, which is why every process I later designed for the team was one I had executed myself first.
2019 — 2020
LIKWID
Co-Founder
Co-founded, built the sales engine from zero — ~$100K in year one at a ~$5K average deal size.
Key Achievements
- Was the entire sales function — co-founder and sole seller at once. Ran LinkedIn outreach cold and converted it into in-person meetings, then closed those meetings myself. ~20 B2B deals in year one on a 7–9 day cycle, every one sourced and signed by the same person.
- Designed the company's remote sales department in 2019, before distributed selling was standard practice — built the structure so the motion could run without the founders in the room, and without an office to run it from.
- Worked directly with marketing on positioning, conversion and cost per lead — in a two-founder company, the person selling and the person tuning the funnel had to be the same conversation.
How I Work
Built for growth.
AI-native execution
Everything on this page was built with these — the site, the market map, the scoring model. Not tools I've read about.
Systems & automation
Distribution & research
© 2026 Vlad Listopadov · Crafted with intent.