Project intake

Submit a project for ZHCs.AI review.

We track the ZHC stack with an official-token-first, source-backed methodology. Submit projects with enough evidence for market data, revenue, adoption, and classification review.

Current project context: moltycash

Choose an intake lane

Different submissions need different evidence. Pick the lane that best matches what you want reviewed.

01
Project profile
For a full ZHC or infrastructure profile with links, market data, traction, and positioning.
02
Revenue update
For projects already covered that have a new dashboard, fee page, or stronger revenue proof.
03
Correction
For fixing token, source, links, launch date, category, or methodology mistakes.
04
Tool suggestion
For builder tools that help founders launch, operate, govern, or scale a Zero-Human Company.

Best suited for

01ZHC companies with real product, revenue, treasury, or operating evidence
02Agent, finance, launch, compute, governance, or transparency infrastructure serving ZHCs
03Early projects that already have official identity, public links, and a credible source trail

Paste-ready submission template

Use this template in Telegram or email so the review process starts with a cleaner evidence package.

Project name:
One-line positioning:
Official website:
Official X / Twitter:
Community:
GitHub:
Official token symbol:
Contract address:
Launch date:
Category / ZHC layer:
Function:
Cumulative revenue:
Annualized revenue:
Key adoption metrics:
Main source links:
Anything we should know:
What we review

ZHC fit

Does the project help autonomous companies launch, operate, earn, coordinate, compute, finance, or distribute?

What we review

Official token

Is the token confirmed by the project, linked from official channels, and deployed on a verifiable contract?

What we review

Traction

Can adoption be measured through revenue, protocol fees, users, agents, AUM, volume, holders, repos, or product usage?

What we review

Source trail

Can the claim be checked from dashboards, chain explorers, official docs, GitHub, X, or public analytics pages?

Intake field groups

Organize the submission like a real intake form: identity first, evidence second, then editorial context.

01
Identity
Project name, website, X, community, GitHub, launch date, and the clearest one-line positioning.
02
Token & market
Official token symbol, contract address, primary trade link, holder count, market cap, and any official treasury or pair references.
03
Revenue & traction
Cumulative revenue, annualized revenue, protocol fees, AUM, users, agents, repos, nodes, or customer proof.
04
Editorial context
Suggested ZHC layer, function, comparable projects, and anything that helps explain why this belongs in the stack.

Submission checklist

01Project name and one-sentence positioning
02Official website, X/Twitter, Telegram/Discord, GitHub if available
03Official token symbol and contract address, if any
04Launch date or first public release date
05Revenue source, cumulative revenue, annualized run-rate, or protocol fee dashboard
06Adoption metrics such as holders, users, agents, volume, AUM, repos, nodes, or customers
07Preferred ZHC layer: application, infrastructure, runtime, finance, compute, launchpad, DAO, or other
08Source links for every important claim

Review process

1
Collect
Send the checklist and links in the Telegram community or to an admin.
2
Verify
We check official channels, contracts, dashboards, and public evidence.
3
Classify
The project is mapped into the ZHC stack and assigned confidence labels.
4
Publish
If accepted, the page appears in project listings and rankings where data is rankable.

Submission readiness

01
Strong
Official website or X, contract or product link, at least one traction signal, and a source link for every major claim.
02
Acceptable
Early project with official identity and product proof, even if revenue is not public yet.
03
Too early
Only a ticker or narrative, with no official trail, product surface, or public evidence yet.

Editorial standard

ZHCs.AI does not list every token. We prioritize projects with official identity, measurable traction, public sources, and clear relevance to Zero-Human Companies.

Market data, revenue signals, and valuation multiples are volatile and may be incomplete. ZHCs.AI is for research only, not financial advice.