Columns:
| # | Tweet | User | Followers | Views ▼ | Ratio | Engagement | Posted |
|---|---|---|---|---|---|---|---|
| 1 | [video] gFermah
Most prediction markets still rely on humans to decide outcomes.
Flashcast doesn't.
Rules are locked at creation.
Markets resolve through deterministic execution.
No committees.
No overrides.
No governance drama.
Prediction markets shouldn't need judges.
This is not a | @mr_satoshiii ✓ | 5.6K | 6.8K | 1.2x | 170 | May 31 |
| 2 | [video] Prediction markets are great at gathering opinions.
But what happens when the prediction is over?
That's where things usually get messy.
Flashcast takes a different route.
The outcome isn't negotiated, debated, or voted on after the fact.
The logic is defined upfront, and the | @mr_satoshiii ✓ | 5.6K | 3.1K | 0.6x | 130 | Jun 1 |
| 3 | [image] Most apps today are built around humans.
A user clicks.
A bot triggers.
A keeper checks.
A transaction happens.
It works,
but it becomes a problem when you want millions of actions happening continuously.
@fermah_xyz is building around a different idea.
With Kernel,
System | @jaymieolamide ✓ | 3.8K | 2.9K | 0.8x | 168 | Aug 17 |
| 4 | [image] Why Matchmaking Is Harder Than Proof Generation!!!
When people talk about Zero-Knowledge proofs,
the conversation usually focuses on generating proofs faster.
But after learning more about @fermah_xyz ,
I realized something.
Generating a proof isn’t always the hardest part. | @jaymieolamide ✓ | 3.7K | 2.6K | 0.7x | 155 | Aug 1 |
| 5 | [image] I’ve been looking deeper into how Fermah works, and one part that really stood out to me is the Prover Node.
Think of Prover Nodes as the machines that provide the computing power needed to generate ZK proofs.
They are an important part of the supply side of Fermah’s proof | @jaymieolamide ✓ | 3.7K | 2.5K | 0.7x | 141 | Aug 11 |
| 6 | [video] Social media is full of oracles.
The problem? None of them can prove they were right.
Enter the new stack:
⚡️ @FlashcastSocial spins up a live prediction market from a single hot take in seconds.
⚙️ @fermah_xyz settles it. Their Froben protocol uses ZK proofs to guarantee the | @VladisChernov ✓ | 5.2K | 1.2K | 0.2x | 169 | Aug 8 |
| 7 | [image] ZK proving shouldn't be an infrastructure problem for every developer
Generating zero knowledge proofs requires powerful hardware complex orchestration and resources that can remain idle for long periods
That makes proving expensive and difficult to scale
Fermah takes a | @wedrick126807 ✓ | 2.1K | 429 | 0.2x | 69 | Aug 16 |
| 8 | [image] ZK proofs are becoming a critical part of Web3 infrastructure but generating them efficiently is still a major challenge
This is where @fermah_xyz takes an interesting approach
Fermah Froben acts as a universal proof marketplace connecting two sides of the ecosystem
On one | @wedrick126807 ✓ | 2.0K | 277 | 0.1x | 67 | Aug 2 |
| 9 | [image] The next big question for protocols isn’t just whether humans can use them
It’s whether agents can reach them while an execution is already happening
Think of an agent building a transaction step by step
• It fetches information
• Makes a decision
• Calls one protocol
• | @wedrick126807 ✓ | 2.1K | 272 | 0.1x | 64 | Aug 10 |
| 10 | [image] Prediction markets have mostly been built around a limited set of questions.
Who wins the game? How many views will a video get? What happens to the price of an asset?
Flashcast is taking a much bigger swing.
With Universal Prediction Markets, the question is no longer what | @0xsepiata ✓ | 2.2K | 208 | 0.1x | 56 | Jul 31 |