SCANNIT ✓
@ScannitNetwork · joined 14 May 2024
Turn everyday actions into data assets. Complete quests, earn $SCAN, fuel smarter AI. Train AI. Earn rewards. Zero complexity. Maximum value.
13 159Followers
111Following
1 823Posts total
10.3KViews on collected posts
Son gönderiler
Yeni gönderiler aranıyor…
@ScannitNetwork What happened with the Scannit app and the company just leaving the community on its own with no kind of compensation for all the work and time done just shows the parasitic nature in Web3; we give our valuable time, energy, and effort for pennies or in this case
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The Bottom Line
We aren't a game, and we aren't a passive data harvester.
Scannit is the infrastructure layer securing the future of AI and robotics training data.
By combining Physical Proof of Work with a B2B enterprise revenue model, we’ve built a moat that competitors
312 views · 9 likes
· 4 reposts · 1 replies
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3. Real Enterprise Revenue vs. Token Inflation
Most "X-to-earn" projects print tokens out of thin air, leading to an inevitable death spiral.
Scannit bridges real-world enterprise capital directly to Web3.
Enterprises buy targeted data "Quests".
This revenue is used to buy
368 views · 6 likes
· 4 reposts · 1 replies
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2. Physicality: The Firewall Against AI Fraud
The data annotation industry is facing an existential crisis: AI bots are flooding platforms with synthetic, low-quality data, poisoning the wells used to train future AI.
How do you stop a bot from faking data?
Physicality is the
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· 2 reposts · 1 replies
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1. Demand-Driven Utility vs. Speculation
Traditional projects harvest data first and look for a use case later.
Scannit reverses the equation.
We are a highly targeted Decentralized Quality Engine built specifically for the AI and Robotics industries.
We only capture data
215 views · 3 likes
· 2 reposts · 1 replies
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Most "Scan-to-Earn" projects are a house of cards.
They collect passive, commodity data (like steps or basic dashcam footage), pray someone wants to buy it later, and rely on inflationary token rewards that collapse when speculation dies.
At Scannit, we are tearing down that
721 views · 14 likes
· 7 reposts · 5 replies
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Big AI companies are scraping your web data for free, leading to biased and distorted models.
Forbes just highlighted how big this problem is.
We think that's wrong. Your data has value.
At Scannit, we are fixing AI data. We don't scrape, we reward the HUMANS who provide
438 views · 14 likes
· 5 reposts · 7 replies
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🚀 UPDATE 🚀
Happy Friday Scannit Fam!
We wanted to take the time to give you a quick update on whats been happening behind the scenes lately!
So here’s what we’ve been working on👇
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Big Tech just crossed a massive threshold. @nvidia's VP personally hand-delivered their brand-new Vera CPUs to OpenAI, Anthropic, SpaceXAI, and Oracle.
These chips are engineered for one specific thing: Agentic AI.
But computing power is only half the equation.
As AI agents
498 views · 17 likes
· 8 reposts · 6 replies
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@ScannitNetwork Let's pump it up together 💪✈️
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@ScannitNetwork Please use my Referral code! :)
Referral code: MJDGC-WBKUW
You'll get 2000 points as a welcome bonus when using the code on signup.
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@ScannitNetwork Interesting, time to read and get ready
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🚨 Big news: the new Scannit Litepaper is LIVE!
Learn how Scannit works, what our mission is, and everything about $SCAN from rewards to governance to token distribution.
👉 Read now: https://t.co/OQXCA6I2yR
The foundation for Scannit’s future is here, don’t miss it.
6.5K views · 61 likes
· 16 reposts · 27 replies
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Aynı büyüklükteki hesaplara karşı
Son 90 güne ait 1 gönderi, 10K–100K takipçi aralığıyla yan yana. aynı büyüklükteki hesaplardan daha az kişiye ulaşıyor.
Medyan görüntülenme3bu hesap98710K–100K için medyan
Erişim, %0.02%bu hesap3.79%10K–100K için medyan
Etkileşim, %0.00%bu hesap1.52%10K–100K için medyan
| Ölçüt | Bu hesap | 10K–100K için medyan | Oran |
|---|---|---|---|
| Gönderi başına medyan görüntülenme | 3 | 987 | 0.00× |
| Erişim (görüntülenme ÷ takipçi) | 0.02% | 3.79% | 0.01× |
| Etkileşim oranı | 0.00% | 1.52% | 0.00× |
Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
6.5K25 Sep
182
821 Oct
5218 Nov
49819 May
69122 May
43826 May
72129 May
215
195
368
312
327 Aug
Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.60%25 Sep
1.10%
1.22%1 Oct
0.00%18 Nov
6.22%19 May
4.49%22 May
5.94%26 May
3.61%29 May
2.79%
2.56%
2.99%
4.49%
0.00%27 Aug
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes52.1%147 in total
Reposts19.1%54 in total
Replies19.9%56 in total
Bookmarks8.9%25 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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