Polkadot ✓
@Polkadot · Decentralized · joined 15 Jul 2013
Products for People.
1 584 748Followers
12Following
14 375Posts total
862.1KViews on collected posts
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The idea is simple: the person who produces data should be the one who benefits from it. That's the ideal.
Getting there is a process, not an overnight utopia, and it's what web3 is working towards.
Polkadot Mobile and Desktop are built on technology designed to move us closer
54.5K views · 424 likes
· 77 reposts · 30 replies
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1:20
9 in 10 people accept a privacy policy in under 10 seconds. Only 1 to 3% read it in full. 📖
Facebook's alone would take you around 50 minutes.
This creates a system where users supply the inputs while platforms capture most of the economic return.
@Web3foundation's research👇 h
43.9K views · 257 likes
· 49 reposts · 22 replies
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Digital ownership isn't just about owning files.
It's about owning choices.
👉 https://t.co/22O9ygAXy7
42.8K views · 20 likes
· 2 reposts · 0 replies
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@Polkadot Posting nonsense this project is bullshit
311 views · 5 likes
· 0 reposts · 0 replies
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@Polkadot yeah that’s the real deal for machine to machine trust, nice work man
484 views · 3 likes
· 0 reposts · 0 replies
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@Polkadot This is where Web3 gets really interesting - trustless on-chain access running on tiny hardware. ⚡
142 views · 3 likes
· 0 reposts · 1 replies
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A Polkadot light client running on a small microcontroller chip. All home-built.
Why it matters: the machine economy needs devices that can read and act on chain state trustlessly. If it fits on a chip this small, it fits in almost anything.
Next step: connecting the hardware
57.2K views · 441 likes
· 79 reposts · 27 replies
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Polkadot light clients now fit on a microcontroller. Here is an ESP32 following the relay chain on a 9V battery 🔋
It verifies finality proofs locally, so it can securely read the state of any parachain without needing to trust an RPC provider.
Next: hooking it up to the Devnet
55.9K views · 160 likes
· 33 reposts · 13 replies
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0:38
What can you build on the Polkadot Products Devnet?
A universal tool anyone can use? Sure, that's possible.
But you can also start with something only useful to you. Unique, unexpected, maybe not interesting to anyone else at first glance. And then it turns out way more useful
56.4K views · 287 likes
· 49 reposts · 17 replies
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Right now, anyone who opens https://t.co/p94uOA8Ovi in the Polkadot App can see the live temperature and humidity in my warehouse.
An ESP32 reads the sensor. The data is published over Celerity on the Products Devnet.
The industrial potential of @Polkadot capabilities is real.
46.4K views · 68 likes
· 11 reposts · 7 replies
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@Polkadot @Polkadot Genuine q from a beta user. I expected the app to be private: no email/phone/keys on device. But the repo shows Firebase contacted every launch, screen views tied to a Keychain UUID that survives reinstall, and RPC nodes seeing my IP. Which of these change in
1.6K views · 11 likes
· 0 reposts · 4 replies
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@Polkadot Let’s see what genius ideas they’re coming up with using my money…
2.3K views · 26 likes
· 0 reposts · 1 replies
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Face aux comptes de taille comparable
14 posts des 90 derniers jours, à côté de la tranche de 1M–10M abonnés. diffusé à plus de monde que les comptes de taille comparable.
Vues médianes43 346ce compte16 688médiane pour 1M–10M
Portée, %2.74%ce compte0.77%médiane pour 1M–10M
Engagement, %0.86%ce compte0.98%médiane pour 1M–10M
| Indicateur | Ce compte | Médiane pour 1M–10M | Rapport |
|---|---|---|---|
| Vues médianes par post | 43 346 | 16 688 | 2.60× |
| Portée (vues ÷ abonnés) | 2.74% | 0.77% | 3.55× |
| Taux d'engagement | 0.86% | 0.98% | 0.88× |
Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →
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
498.8K23 Jul
1.3K
2.3K
1.6K
46.4K27 Aug
56.4K31 Aug
55.9K1 Sep
57.2K
142
484
311
42.8K2 Sep
43.9K4 Sep
54.5K6 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.16%23 Jul
1.10%
1.15%
0.99%
0.19%27 Aug
0.63%31 Aug
0.37%1 Sep
0.96%
2.82%
0.62%
1.61%
0.05%2 Sep
0.76%4 Sep
0.99%6 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 0.98%.
What the audience does
Likes71.7%2 198 in total
Reposts16.7%513 in total
Replies6.0%184 in total
Quotes2.0%60 in total
Bookmarks3.6%109 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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