SpaceX just IPO'd at nearly $2 trillion.
Institutions are piling in. Analysts are screaming overvalued. The internet is split right down the middle.
Everyone has a take. Nobody knows what the crowd actually believes.
This is exactly what Sentysis was built for. One live Conviction Index. Real signal. No noise.
@BioStone_chad Thank you for the feedbank. At the moment, we are focusing on tech and product development. This is the priority at this stage.
We will start our GTM after this current stage.
You open your feed. Something is trending.
But did it trend because millions genuinely believe in it?
Or because the algorithm decided it was engaging?
Or because a coordinated group pushed it at the right time?
You have no way of knowing.
That's the real problem with social media. It was never built to show you what people believe. It was built to show you what keeps you scrolling.
Belief and engagement are not the same thing. Sentysis is built for the first one.
We have no plan to sell $SENT. We will use it for our airdrop/campaign feature that goes to the user and community.
@Sentysislabs revenue model is clear from the start. Even without token we can generate revenue from multiple source.
Right now we are focusing on product
AI broke crypto security.
AI has to fix it.
Every week there's a new exploit. A new hack. Another protocol drained. Most teams are still relying on manual audits and human monitoring ..tools built for a slower era.
The problem isn't just the vulnerability. It's the speed. By
Everyone has a take.
But a take without anything behind it is just noise. It disappears in 3 seconds, buried under the next hot post, the next bot reply, the next manufactured trend.
The internet isn't short of opinions. It's short of beliefs you can actually trust.
Sentysis is built for that gap. Publish what you genuinely believe. Back it on-chain. Watch the real Conviction Index emerge.
Not what the algorithm want you to see, Not what went viral but What people actually believe.
That's Sentiment Intelligence.
Everyone is trying to fix sentiment analysis. Nobody is questioning the input.
Better scraping. Cleaner NLP. Faster pipelines. The entire industry is building better infrastructure around the same broken foundation, free text. Posts that cost nothing to fake. Opinions with nothing behind them. You can't fix noise by processing it faster.
Sentysis changes the input entirely. On-chain conviction. Real beliefs. Real signal. No scraping. No guesswork. No bots.
Just what the internet actually believes.
We just launched Sigma USDC (ΣUSDC) a testnet stablecoin on Base Sepolia.
Not a real token. A testing tool.
Here's why we built it:
Sentysis runs on capital-backed conviction where every vote costs capital in USDC. That's the whole point. Fake signals don't count.
But on testnet, we still need users to experience the full flow without spending real money.
So we built ΣUSDC:
→ Pegged 1:1 to USDC
→ Lives only on Base Sepolia
→ Claimable free at faucet.sentysis.com
→ Up to 1,000 ΣUSDC per wallet every 24h
→ 100% real experience.
If you want to try Sentysis before mainnet this is your entry point. More details on how to claim ΣUSDC will be updated soon.
The algorithm has been gaslighting you!!!
Likes are free. Reposts are free. Attention is cheap and bots are everywhere. Every "trending" topic you've ever seen? Manufactured. You've been reading noise and calling it signal.
Sentysis ends that.
Every sentiment on-chain shows: → Live Conviction Signal → $ Total Value Locked in the narratives → Real-time analytics.
When you can't fake capital, you can't fake the feed.
I made the right decision when I interacted with @igoryuzo .
Partnering with @bankrbot for @Sentysislabs agentic capabilities is the next move.
This is a long term play and I believe in $SENT community's conviction.
Two signals on the same narrative:
NLP score: 78% positive — 50,000 posts, unknown how many are bots
Sentysis Σ: +342 — 1,140 people who committed real capital
The internet needed a different input, not a better model.
On-chain. Capital-backed.
A curator frames a narratives,
Contributors commit capital on narratives.
The aggregate becomes a live Conviction Index — the Σ score.
No language processing. No model interpretation.Clean signal by design, not by cleaning dirty input after the fact.
AI models in 2026 can read sarcasm, negation, and cultural context fluently.
So why is sentiment analysis still completely broken?
The problem was never the model. 🧵
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