🎯 RealShip
Game and app founders pay for launch impressions and get bots. What if that budget routed to real players who actually show up and stay?
The 60-second brief
Research + working prototype by dOrg
In 12 months, acquisition-quality scoring becomes a standard artifact in every Web3 fundraise deck, the way audit reports are today. dOrg holds the wedge as the team that built the methodology and the tooling that made it legible to non-technical investors.
On-chain cohort analysis that separates retained users from single-session airdrop farmers
Bot-likelihood scoring per wallet using behavioral heuristics across transaction timing and contract interaction patterns
Retention curve visualizer showing day-1, day-7, and day-30 cohorts exportable as investor-ready PDF
Referral-source attribution linking wallet activity back to specific campaign or community entry points
The Problem
Teams ship solid products but fail when player/user acquisition turns mercenary or bot-driven.
Who feels it
Founder or product lead at a seed-stage Web3 gaming or DeFi protocol who has shipped a working product and is 6-10 weeks from a public launch or token event, with no reliable way to distinguish genuine user traction from bot-driven or mercenary activity.
Why now
Token generation events and public mainnet launches are compressing into Q3 and Q4 windows as teams race to beat the next market cycle. Investors doing post-launch due diligence are now specifically asking for on-chain retention cohorts, not just wallet counts, because the bot-farm problem is widely understood. A founder who cannot produce clean acquisition data before their TGE or Series A call is walking into that room with a liability, not a story.
Market size
Web3 gaming alone attracted over $2.3B in venture funding in 2023 (DappRadar), with hundreds of active launches competing for a finite pool of genuine players across EVM-compatible chains.
The Solution
What it does
On-chain cohort analysis that separates retained users from single-session airdrop farmers
Bot-likelihood scoring per wallet using behavioral heuristics across transaction timing and contract interaction patterns
Retention curve visualizer showing day-1, day-7, and day-30 cohorts exportable as investor-ready PDF
Referral-source attribution linking wallet activity back to specific campaign or community entry points
Anomaly alerts that flag sudden wallet-count spikes inconsistent with organic growth patterns
Shareable acquisition-quality report with a verifiable on-chain proof link for due diligence packages
Business Model
Packaged sprint engagement scoped to the 8-12 week pre-launch and post-launch window, where the pressure and the budget both exist. The deliverable is the dashboard plus the first acquisition-quality report, with an optional ongoing indexing retainer once the product is live. Margin compounds as the on-chain data pipeline and scoring models built for one client are reusable scaffolding for the next.
End Goal
In 12 months, acquisition-quality scoring becomes a standard artifact in every Web3 fundraise deck, the way audit reports are today. dOrg holds the wedge as the team that built the methodology and the tooling that made it legible to non-technical investors.
Where this came from
One public signal behind this edition.
“A great game with the wrong crowd is still a failed launch. when everyone can build, building stops being the differentiator. The bottleneck moves downstream.”
Why it fits: Founder insight on shipping vs distribution bottlenecks for Web3 game launches.
@Selena0x1· 1.1k followers
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