stopped caring about roadmaps and whitepapers
started asking one question about
@dagama_world, dango, RumiLabs_io, inference_labs, and dgrid_ai
"where's the actual revenue?"
results were... eye-opening 🧵
THE QUESTION NOBODY ASKS:
everyone debates tech, tokenomics, team
but I want to know: is anyone paying money for this?
not tokens, not incentives, actual revenue
@dagama_world REVENUE MODEL:
talked to merchant using their platform
asked: "do you pay dagama anything?"
answer: "not yet, but they mentioned business panel subscription coming"
so current revenue: $0 from merchants
360K wallets connected, 700 merchants, zero direct revenue currently
BUT WAIT:
they did ChainGPT launchdrop: $50K raised
token sales: some revenue from listings
so technically making money, just not from product usage yet
plan: merchant subscriptions, targeted ads, premium features
timeline: rolling out Q1 2026
@dango REVENUE:
testnet phase, 166K users, 5M transactions
asked community: "how does dango make money?"
answer: "transaction fees on mainnet"
current revenue: $0 (testnet is free)
future model: tiny fee per transaction (sub-cent)
math: if 5M transactions monthly at $0.0001 fee = $500/month
needs massive scale to work
CONCERN:
fee must stay low (that's the point)
but low fee × volume = need billions of transactions for real revenue
can they get there?
@RumiLabs_io REVENUE:
I literally paid them $19 for compute
that's revenue, real money exchanged
checked more: other users renting GPUs, paying per use
this one has actual revenue from actual usage
not huge amounts (early stage)
but real business model working today
VALIDATION:
saved me $41 vs alternatives
I paid for value received
that's a functioning business
@inference_labs REVENUE:
tested their API, made 300 requests
checked pricing: they charge per API call
so yes, generating revenue from usage
asked community member: "are you paying?"
answer: "yeah $9 last month, saved me from $24 on OpenAI"
real revenue from real users today
MODEL MAKES SENSE:
take cut from cost savings
users happy (still saving money)
they make money
sustainable
@dgrid_ai REVENUE:
not launched, can't have revenue yet
whitepaper mentions: node operators pay network fees
users pay for compute access
makes sense on paper
execution: TBD 2026
REVENUE SCORECARD:
dagama: $50K (fundraising), $0 (product usage)
dango: $0 (testnet), TBD (mainnet Q1 2026)
RumiLabs: $ unknown amount (compute rentals)
Inference: $ unknown amount (API usage)
DGrid: $0 (not launched)
only 2 out of 5 have product revenue today
WHY THIS MATTERS:
projects with revenue = validated business model
projects without revenue = still proving product-market fit
both can succeed, but risk profiles totally different
THE LUNA LESSON:
Luna had massive TVL, no real revenue
just tokens moving around ecosystem
looked successful until it wasn't
revenue = external money coming in, not internal token shuffling
DAGAMA CASE STUDY:
no product revenue yet, but 360K users, 700 merchants
that's real traction, real usage
revenue coming soon (merchant subscriptions)
question: will merchants actually pay?
TESTED THIS:
asked merchant: "would you pay $20/month for dagama business dashboard?"
answer: "depends on customers it brings, need to see ROI"
so revenue timing = dependent on proving value first
makes sense but adds uncertainty
DANGO MATH:
5M transactions testnet (free)
mainnet: $0.0001 per transaction
monthly revenue: $500
annual: $6,000
not enough to sustain company
need 100x transaction volume for real business
APPLYING TO THESE 5:
dagama: no revenue yet, model makes sense, timeline clear ✅
dango: no revenue yet, model needs scale, uncertain ⚠️
RumiLabs: has revenue, model validated, sustainable ✅
Inference: has revenue, model validated, sustainable ✅
DGrid: no revenue yet, model makes sense, unproven ⚠️
do you care about revenue or just token price? honest question 👇
#Revenue #BuildInPublic #RealBusiness