When a Web3 project gradually becomes silent or fails, the most common explanations are often:
Poor technology, lack of execution, or “bad luck.”
But if we extend the timeline and enlarge the sample size, a more realistic conclusion emerges:
The vast majority of Web3 projects do not fail primarily due to technical collapse, but because their collaborative structures fail first.
This is the judgment formed by IDN Network through long-term industry observation.
Technology can often still run, but collaboration has already stopped
In many failed projects, the underlying code still functions, and the blockchain has not halted.
What truly changes are the relationships of collaboration between people.
Common structural issues include:
Disconnection between contribution and reward
Decision-making processes becoming opaque
Blurred boundaries of authority and responsibility
Declining trust among participants
Once the collaborative structure loosens, no matter how stable the technology remains, the ecosystem’s vitality cannot be preserved.
Web3 is fundamentally not just a technical system,
but a multi-party collaboration system.
“Community” is not a substitute for structure
Many projects place hope in “community consensus,”
believing that as long as the atmosphere is good enough, structural issues can be ignored.
But in reality, emotions are unstable.
Without clear definitions of:
Who is responsible for what
Who can make decisions
How to measure effective contributions
What long-term participation means
The so-called community can easily disintegrate quickly when expectations are inconsistent.
IDN Network prefers to establish a structure first, then discuss community.
Incentive mechanisms cannot compensate for fuzzy structures
When collaboration problems occur, many projects’ first response is “adding incentives.”
In the short term, this can indeed boost data;
but in the long run, it introduces greater uncertainty:
Participation becomes highly conditional
Contributors start waiting for the next round of incentive adjustments
Rules change frequently, expectations are constantly broken
Eventually, participation is no longer a long-term choice but a short-term game.
In IDN Network’s view, incentives should reinforce the structure, not mask structural flaws.
Truly sustainable systems reduce the need for “repeated realignment”
An important feature of a strong system is:
not needing to frequently “re-explain the rules.”
When the structure is clear, participants naturally understand:
Their roles
Behavioral boundaries
Long-term reward logic
Collaboration no longer relies on repeated mobilization but becomes a rational choice.
This is also why IDN Network pays more attention to the internal consistency of the structure.
Conclusion
The long-term challenge of Web3 is not whether technology can continue to innovate,
but whether decentralized systems can support long-term, rational, multi-party collaboration.
Technology enables the system to operate,
but the structure determines whether the system can survive.
For IDN Network,
building Web3 means prioritizing solving “how to collaborate,”
not just “what functions to develop.”
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Most Web3 projects fail, not because of technical issues — but because of structural problems
Long-term Observation of IDN Network
When a Web3 project gradually becomes silent or fails, the most common explanations are often: Poor technology, lack of execution, or “bad luck.”
But if we extend the timeline and enlarge the sample size, a more realistic conclusion emerges:
The vast majority of Web3 projects do not fail primarily due to technical collapse, but because their collaborative structures fail first.
This is the judgment formed by IDN Network through long-term industry observation.
In many failed projects, the underlying code still functions, and the blockchain has not halted. What truly changes are the relationships of collaboration between people.
Common structural issues include:
Disconnection between contribution and reward
Decision-making processes becoming opaque
Blurred boundaries of authority and responsibility
Declining trust among participants
Once the collaborative structure loosens, no matter how stable the technology remains, the ecosystem’s vitality cannot be preserved.
Web3 is fundamentally not just a technical system, but a multi-party collaboration system.
Many projects place hope in “community consensus,” believing that as long as the atmosphere is good enough, structural issues can be ignored.
But in reality, emotions are unstable.
Without clear definitions of:
Who is responsible for what
Who can make decisions
How to measure effective contributions
What long-term participation means
The so-called community can easily disintegrate quickly when expectations are inconsistent.
IDN Network prefers to establish a structure first, then discuss community.
When collaboration problems occur, many projects’ first response is “adding incentives.”
In the short term, this can indeed boost data; but in the long run, it introduces greater uncertainty:
Participation becomes highly conditional
Contributors start waiting for the next round of incentive adjustments
Rules change frequently, expectations are constantly broken
Eventually, participation is no longer a long-term choice but a short-term game.
In IDN Network’s view, incentives should reinforce the structure, not mask structural flaws.
An important feature of a strong system is: not needing to frequently “re-explain the rules.”
When the structure is clear, participants naturally understand:
Their roles
Behavioral boundaries
Long-term reward logic
Collaboration no longer relies on repeated mobilization but becomes a rational choice.
This is also why IDN Network pays more attention to the internal consistency of the structure.
Conclusion
The long-term challenge of Web3 is not whether technology can continue to innovate, but whether decentralized systems can support long-term, rational, multi-party collaboration.
Technology enables the system to operate, but the structure determines whether the system can survive.
For IDN Network, building Web3 means prioritizing solving “how to collaborate,” not just “what functions to develop.”