Paid Sleep Services
Users subscribe to personalized wake-ups, AI sleep optimization, and long-term trend analysis, generating revenue from useful software services.
MOMO Sleep · Hackathon
Eight Hours of Sleep?
How many hours did you sleep last night?
Meet the MOMO Sleep team ↓Who we are · Meet the team
We are MOMO Sleep
Hover over a person, or tap on your phone, to meet the people building the sleep economy system.
02 / PROJECT LEAD
Momo Yiming
Project Lead
Education & background
Guangdong University of Foreign Studies · Finance background
AI content creator focused on AI development, options, and Web3 trading.
Desktop: hover or use Tab to focus · Mobile: tap a team member
Turn Sleep into a Trusted Asset
The MOMO sleep economy system connects smart wake-ups, wearable data, AI feedback, real-world product research, and privacy-preserving audits. The China version uses sponsor budgets and centralized points for settlement; the overseas version demonstrates minting eligible points into on-chain tokens.
This page does not connect to HealthKit or upload its data. Sample A is a sleep screenshot and manual summary explicitly authorized by the user for public display. The China version issues no tokens. The overseas section only mints Monad Testnet SLEEP demo tokens with no mainnet value, trading market, liquidity, or promised returns.
Deterministic score · Four-factor incentives V2
Every Point Can Be Recalculated from Sleep Data
This demo scores a night of sleep across four factors: duration, depth, continuity, and regularity. The scoring rules are versioned: identical inputs produce identical results, and the server recalculates the score before writing it to the sandbox ledger.
① 480-minute capThe night's stages are scaled proportionally to a maximum of 480 scored minutes; extra time adds no further points.
② 25% deep-sleep targetCore earns 1× and REM 2×. Deep earns 3× near the target, tapering off as its share rises above or falls below it.
③ Interruptions reduce weightThe number of awakenings during sleep and total awake minutes jointly reduce the continuity factor, with a floor of 0.70.
④ Compare with your rhythmThe full version uses a personal baseline across multiple nights. This single-night sample is compared only with a demo target schedule.
Stage-minute subtotal × Continuity factor × Regularity factor = Tonight's sandbox points
Product parameters, not a medical diagnosis: 25% is the center of the current, versioned incentive curve, not a universal standard for an ideal amount of deep sleep. Research compensation rewards valid participation, regardless of whether health outcomes are higher or lower.
Working demo · Sample A shared with user permission
See How Each Color Is Scored on the Original Sleep Chart
Original screenshot shared with the user's permission: 07:36–15:13; Awake 31 minutes, REM 50 minutes, Light 250 minutes, and Deep 105 minutes. Hover over the four colored summary bars below the chart, or tap them on your phone, to see each algorithm and weight.
Original screenshot · English guide
Original Chinese source image, reproduced without alteration. Selected date: September 4. Chart: 07:36–15:13.
- Awake: 31 min · 7.1%
- REM: 50 min · 11.5%
- Light sleep: 4 h 10 min · 57.3%
- Deep sleep: 1 h 45 min · 24.1%
Source interface: Sleep · Sleep details · Edit · Sleeping heart rate · Sleep movement · Optimal range · Today · September 3.
Source app comment: “There is still room for improvement in REM sleep.” This is the source app’s assessment. Its 24.1% Deep share includes awake time; MOMO’s scoring share is 25.9% of actual sleep.
Stage totals add up to 436 minutes, while the chart spans 457 minutes. The missing 21 minutes are neither filled in nor scored. The estimate of 6 interruptions comes from visible segments and awaits calibration against the original minute-by-minute export.
Current sandbox points
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Click the button above to see the server's full score calculation.
Sponsor-funded payout · Brand budgets
How Points Convert to CNY
In the production model, a brand first funds the campaign budget, then the platform pays users for eligible points at the current redemption rate. The rate may change with sponsor budgets and campaign periods, but each request locks in the rate when submitted.
Loading payout status…
Estimated payout
¥0.00
Loading current redemption rate…
Four Requirements for Actual Payments
Sponsor fundingLoading…
Payout channelLoading…
Identity & consentVerified identity + separate health-data consent
Tax & risk reviewPayment only after approval
No actual payments are made yet: This page saves a payout integration request and displays the CNY amount, without deducting points or calling a merchant payment service. Actual payouts can be enabled only after sponsor funds arrive and a legal-entity merchant account and verified-identity payment flow are integrated.
Payout Request History
For production integration, use asynchronous corporate merchant transfers: initiate them on the server, check the final status, and show the user an electronic receipt. Health information and financial accounts are sensitive personal information; explain each purpose and obtain the required separate consent. References: WeChat Pay merchant transfer concepts, Personal Information Protection Law, Articles 28–30.
Global route · Overseas token mint
Overseas: Mint Sleep Points into SLEEP
The overseas pathway maps sleep credentials that pass server-side scoring and risk checks to ERC-20 rewards. This demo's contract deployment, mint transactions, blocks, recipient addresses, and token balances can all be verified on Monad Testnet.
Loading testnet status…
Available to mint
0 SLEEP
1 sleep point = 1 SLEEP test token
From Sleep to On-Chain Tokens
1. Data & consentStandardized locally; raw data stays off-chain
2. Scoring & replay protectionServer recalculation; one commitment per night
3. Actual mintingOwner-only ERC-20 mint
4. Public verificationVerifiable transactions, balances & events
Please note: Actual minting means the transaction is recorded on Monad Testnet; it does not mean this sample has passed hardware-signature or identity verification. SLEEP is a transferable test token with a supply cap, not a mainnet token, investment product, or claim to returns.
My Minting History
Confirmed Testnet Mints
The public demo allows up to 20 mints, with one mint per sleep commitment and per recipient address, a maximum of 1,000 SLEEP per mint, and a hard contract-wide cap of 20,000 SLEEP. A production overseas product still requires reviews of securities, tax, consumer protection, privacy, sanctions, and smart-contract security for each target jurisdiction. Network reference: Monad Developer Portal.
Sandbox Store
Unique Nightly On-Chain Credentials (Dynamic Simulation)
Each sleep entry receives a different credential hash, transaction hash, and block height. This is a workflow simulation: it uses no test tokens and cannot be verified in a block explorer.
Redemptions & Unique Credentials (Dynamic Simulation)
Each points purchase creates a distinct redemption credential, simulated transaction, and simulated block that persist after refresh. These demonstrate the audit workflow only; they are not actual testnet transactions.
Actual Monad Testnet Anchors
The network and contract address stay fixed by design. Each actual anchoring changes the transaction, block, and batch root.
External value · Revenue & funding
Where Does the Money Come From?
Value comes from real demand and payments outside the system.
Users, product makers, and research institutions pay for better sleep services, product insights, and research evidence. MOMO brings that external value into the system to fund operations and share an agreed portion with contributors.
The question of value
If only you value your own sleep, how can that value circulate?
External buyers have a reason to pay when real sleep records help them make decisions.From product development to scientific research, continuous, trustworthy sleep data has potential practical value. MOMO connects user consent, data quality, and buyer needs so that value can be verified, purchased, and shared with participants.
Six Sources of Revenue and Funding
Product Ads & Sales Commissions
Connect users with pillows, mattresses, wearables, and other sleep products, earning fees and commissions through clearly labeled ads, referrals, and sales partnerships.
Product & Market Insights
Manufacturers pay for detailed feedback from real-world use to improve products and market strategy. Deliverables are user-authorized, de-identified aggregate data and analysis.
Sleep Research Services
Research institutions fund large-scale, longitudinal studies of real-world sleep, receiving datasets, controlled analyses, or research reports with separate participant consent.
Social Matching by Sleep Schedule
Develop optional social matching, communities, and memberships around similar sleep schedules. Users choose to join; exact schedules and locations are hidden by default.
External Investment
Equity funding or strategic investment supports R&D, market expansion, and pilot launches. Investment funds growth; ongoing operations still need real business revenue.
A pillow brand · An illustrative example
Brands Pay for Product Evidence. Users Share the Value.
Imagine a pillow maker that wants to understand how its product performs in real bedrooms, improve its design, and identify whom it suits. It could fund a product study with MOMO.
The Brand Prepays
Agree on the research question, eligibility, data scope, and participant rewards.
Users Choose to Participate
Use the product, record sleep and experiences before and after using it, and contribute honest feedback.
MOMO Reviews and Analyzes
Check participation and data quality, apply privacy protections, analyze aggregate results, and handle settlement.
Rewards and Reports Are Delivered
Users receive compensation for participating. The brand receives evidence for product and market decisions.
Where user payments come fromIn this example, mainly from the brand's research budget.
The brand's budget funds participant compensation, research delivery, and platform operations as agreed. The production payout model could pay users in CNY. Compensation rewards valid participation, regardless of higher sleep scores or positive reviews.
What the brand buysReal-world product evidence at scale and detailed insights.
Comparable, verifiable answers to which products suit which people and what needs improvement, without unrestricted access to identities or raw health records.
For individual users
Make real sleep records and valid participation contributions that can earn compensation.
For the wider industry
Help funding, products, and trustworthy evidence flow through the sleep industry.
We Are Building a Sleep Economy Layer
Sleep products are the entry point; real-world data and evidence services are the business foundation. MOMO explores turning sleep data into economic value and usable assets: with explicit consent and real demand, useful evidence can become a service that can be priced, delivered, and audited.
Explore China's sleep market and its growth ↓Business model plan and illustrative example: this demo has not yet validated these revenue streams or brand partnerships, and actual payouts are not enabled. Rewards are limited by dedicated funds already received and an agreed share of realized revenue. Raw health data stays off-chain.
Case study · STEPN
STEPN: Rapid Growth, Rapid Decline
Users buy NFT sneakers, exercise to earn GST, and spend GST on repairs, upgrades, and minting new sneakers. The concept was easy to understand and spread quickly, but rewards depended heavily on new users and transactions within the ecosystem.
2,500Monthly active addresses, Jan 2022
705,500Peak in May 2022
44,900December 2022
These are estimates of active on-chain addresses, not total app users.
Growth
- New users drive demand for sneakers and GST
- Expected returns rise
- More new users are attracted
Decline
- Fewer new users join
- Token spending falls and selling pressure rises
- Returns deteriorate and users leave
MOMO's takeaway: Rewards must be supported by real, verifiable external revenue, rather than relying solely on new users.
Reward Issuance ≠ Sustainable Revenue
Another lesson from Lympo: The 2022 hot-wallet incident shows that key security and asset custody matter just as much.
Sources: STEPN Tokenomics, Binance Research 2022, Lympo incident update, Immunefi review.
Market opportunity · China first
A Large Sleep Market Needs Trustworthy Feedback
China's sleep economy (broad industry definition)
CNY 573.72 billion
2025 estimate; projected to reach CNY 790.43 billion by 2030.
Global reference
The Global Market Is Growing Too
USD 73 billion
Global sleep wellness spending in 2024
USD 103.5 → 136 billion
Sleep-aid technology forecast, 2025–2030
The two datasets use different definitions and cannot be added together.
MOMO's opportunity: Consumers are willing to spend on sleep but question what works. We provide real-use feedback that is consented, comparable, and open to verification.
Sources: iiMedia sleep economy research, GWI 2025, BCC Research.
Hardware entry · Wearables & rings
Wearables Are Mainstream; Smart Rings Are Growing
China's wrist-worn devices (watches + bands)
73.9 million units
2025 shipments, up 20.8% year over year. These are not smart-ring shipments.
Global smart rings (Omdia shipments)
It remains a small category, with clear growth over the past three years.
The role of rings: Collect nighttime data with minimal disruption. Rings are a data entry point; they do not automatically prove authentic sleep. MOMO handles consent, review, and aggregated evidence.
Sources: IDC China wrist-worn devices, Omdia smart rings.
Positioning · China entry hypothesis
A Sharper Focus for Testing a Complete Pilot
Potential Advantages
A focus on sleep, the smart-hardware supply chain in Shenzhen and the Greater Bay Area, local demand for better sleep, and the option to deploy open-weight AI locally.
What the Data Must Prove
Actual supplier quotes and manufacturing yields, customer acquisition costs, usable-data rates, manufacturers' willingness to pay, and participants' willingness to return.
Insurance and health-management groups such as Taikang may be researched as potential partner categories, but this project currently has no investment, partnership, or endorsement relationship with them. The overlap of AI, health, wearables, and privacy-preserving computation does not automatically confer policy support; putting sleep data on-chain does not automatically make it a real-world asset (RWA).
Long-term development: Start with support for rings, watches, and HealthKit, then explore bedside mmWave/radio sensing linked to sound, lighting, fragrance, and climate control. Integration with ecosystems such as Mi Home is a future partnership direction, not an existing capability. Social features around sleep schedules could be tested with international students, shift workers, and people across time zones, with exact sleep times and locations hidden by default.