The following content is directly based on the Binance Square module's developed features, suitable for rapid launch, can quickly verify market demand, but the downside is that it may cause the Binance ecosystem to become bloated, which is not conducive to long-term development.
Of course, it can also be combined with my BRAIN project to form a long-term strategic development; I will introduce them one by one below.
Binance Square section
1 Core
Establish KOL resource library and assessment mechanism.
Entry threshold:
Follower count ≥ 3k (on-chain data verification, such as X followers, etc.).
Community activity ≥ 10 posts/month (through on-chain behavior analysis, such as BNB on-chain interaction records, new user acquisition within the month).
Hierarchy:
Bronze (response rate 60%): profit sharing 70% + 10% fee reduction.
Silver (response rate 75% + satisfaction ≥ 4 stars): profit sharing 75% + 20% fee reduction.
Gold (response rate 90% + satisfaction ≥ 4.5 stars): profit sharing 80% + 30% fee reduction.
Bounty mechanism
User bounty amount range: 1-10 BNB (or equivalent USDT/ETH).
Anonymous questions require an additional 10% fee (to prevent malicious attacks).
Stacked bounty model:
Other users can add to the bounty (with a minimum unit of 10% of the original question amount), and the final answer's total reward is distributed according to contribution ratio.
For example: User A offers a bounty of 100 USDT, User B adds 50 USDT, the best answer receives 150 USDT × 80% = 120 USDT.
Fee distribution:
One-on-one questioning:
KOL does not respond → 80% refund to the user, 10% to the platform, 10% injected into the 'ecological incentive pool' (rewarding high-satisfaction KOLs).
KOL response → KOL receives 80%, platform 10%, ecological pool 10%.
Public questions:
No answer → 70% refund to the user, 20% to the platform, 10% injected into the ecological pool.
Multiple answers → best answer receives 60% of the reward, second-best answer 20%, remaining 20% distributed according to the number of likes.
2. Anti-cheating mechanism
KOL anti-fraud strategy:
Dynamic assessment: a maximum of 3 valid answers counted per day (to prevent manipulation).
Review mechanism: automatically filter template answers (e.g., similarity > 70% marked as low quality) and add a reporting mechanism.
Staking threshold: KOLs need to stake a certain amount of BNB.
User spam prevention mechanism:
New users are limited to asking 1 question per day, with trading volume ≥ 10 BNB or unlocking unlimited questions.
Users with low satisfaction (less than 3 stars) enter an observation list, and subsequent question fees increase by 50% or are directly banned from asking questions.
This model can run independently, be developed based on the Binance Square module, or be combined with my BRAIN project — experts can filter high-potential questions through consultation answers for in-depth research and commercialization.
Below is a brief introduction to my BRAIN project.
BRAIN is a decentralized brainstorming and innovation incubation platform aimed at global reach, connecting global innovators and experts to solve human-level challenges such as climate change and energy crises, fundamentally addressing the issues of blockchain's difficulty in landing in reality.
1. Project vision
Long-term
Solving human-level problems: focusing on long-term challenges such as climate change, energy crisis, and planetary defense, allowing global wisdom to collaborate through blockchain.
Archiving for the future: frontier ideas that cannot be immediately verified (e.g., 'gravity manipulation of asteroids') are permanently saved on-chain for future research.
Short-term
Rapidly incubate innovative solutions for commercial landing.
2. Core functions
Submit ideas: anyone can anonymously/identified submit solutions (e.g., 'using AI to predict asteroid trajectories').
Community voting: users screen high-potential proposals, and popular proposals enter the expert verification stage.
On-chain incubation: teams of scientists and engineers assess feasibility, promote project commercialization, and profits are automatically distributed according to contributions.
3. Token economy
Contribution rewards: submitting ideas, voting, and verification can all earn tokens ($BRAIN).
Profit sharing: income from commercialized solutions is permanently distributed to contributors according to proportion.
Staking rights: staked tokens can participate in governance and have priority to receive high-value proposals.
What similarities do BRAIN and paid Q&A have?
1. Token economy drives contributor ecology
Both incentivize users through tokens ($BRAIN/BNB) — questioners pay, answerers earn tokens, creating a closed-loop value circulation.
Differences and complementarity:
Paid Q&A: short-term incentives (instant answers earn quick money).
BRAIN: long-term incentives (project incubation enjoys profit sharing).
2. Expert/KOL resource reuse
Similarities:
Relying on high-quality experts/KOLs to provide value (answerers in paid Q&A = verifiers in BRAIN).
Differences and complementarity:
Paid Q&A: KOLs/experts screen high-potential demands by answering simple questions.
BRAIN: experts conduct in-depth research and project incubation on filtered questions.
3. Decentralized community governance
Similarities:
Users influence content ranking and profit distribution through voting/likes (the 'best answer' vote in paid Q&A = the creativity popularity vote in BRAIN).
Differences and complementarity:
Paid Q&A: focuses on immediate feedback (answer satisfaction determines bonus distribution).
BRAIN: focuses on long-term value (community voting filters incubable proposals).
Collaborative scenario: high-vote answers in paid Q&A can be directly transformed into BRAIN's unresolved topics, saving cold start costs.
Summary:
BRAIN is very similar to paid Q&A; both essentially combine token economics with blockchain technology to convert knowledge payment into measurable on-chain value. The difference is limited to short-term Q&A vs. long-term incubation.
The above are some of my thoughts and summaries. Some may say I am taking too big a step, talking about energy crises and asteroid defense, and that it’s better to focus more on K-line charts and criticize market manipulators. To this, I just want to say that any idea at any time may change the world. At the birth of BTC, who could have predicted it would become a trillion-dollar market years later? What I want to do is not to speculate on coins but to bring blockchain back to its technical essence and solve various problems through on-chain collaboration. If Mr. CZ recognizes this direction, we are willing to provide a complete plan and accept Binance Labs' evaluation.
