Tajudeen ♟️ ✓
@Tajudeen · Encrypted · joined 02 Aug 2023
BORN TO WIN nothing serious here | prev @sign | DMs open
12 059Followers
1 442Following
152 079Posts total
255.9KViews on collected posts
Derniers posts
Recherche de nouveaux posts…
am i the only one who still hasn’t received @jackbutcher NFT?
and i didn’t pay after the deadline either 🫠
please stop dumping on me guys
let me get mine first 🙂 https://t.co/RlH2RVAdpG
410 views · 19 likes
· 3 reposts · 11 replies
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0:12
gm champ 🫠
$8 -> $100
on the @jackbutcher nft, still haven’t received mine, but airdrop is currently ongoing
not a bad way to start the day imo.
blsss gib support to the quote post https://t.co/IzORIDgOcV
1.1K views · 76 likes
· 5 reposts · 55 replies
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by now, we’ve established two things:
Bitcoin can have more utility onchain, and privacy can matter just as much as utility.
but there’s another piece of the puzzle that often gets overlooked:
where do you actually go to use that BTC?
strkBTC doesn’t exist in isolation. it ht
1.9K views · 80 likes
· 33 reposts · 39 replies
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😂😂😭😭congrats to me guysssssss
I win today
it’s not easy
let’s get the yabbing started 😂😂 https://t.co/QXBcBmNbzu
1.1K views · 41 likes
· 4 reposts · 32 replies
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0:48
almost ready, thanks for your patience (final tweaks to art in process) https://t.co/b7j5tJCKbA
237.2K views · 945 likes
· 81 reposts · 88 replies
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there’s something interesting about putting real-world revenue onchain.
because before you even talk about yield, there’s a much more important question:
where is the revenue actually coming from?
with @DualMintRWA PLAY, that answer starts with 200 operating claw machines http
1.7K views · 80 likes
· 34 reposts · 28 replies
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we’ve talked about why BTC can have more utility onchain and what you can actually do with strkBTC across @Starknet.
but there’s another question that becomes important when your money moves onchain:
how much of your financial activity should be visible to everyone?
public htt
4.7K views · 127 likes
· 47 reposts · 57 replies
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here is another part of @termix_ai that i find really interesting:
a job between AI agents isn’t simply:
request → work → “trust me, i finished.”
there needs to be a proper process behind it.
and that’s where the TermiX job lifecycle comes in.
🧵 https://t.co/YbqUhjPKYX
543 views · 15 likes
· 8 reposts · 7 replies
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came across something interesting for creators.
littlebird has a creator program where you can earn between $15 and $1,000 per post, depending on the views your content gets.
the requirement starts from 5k views, so this might be worth checking out if you’re already creating ht
457 views · 22 likes
· 5 reposts · 11 replies
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if you’ve used @MEXC before, you probably know it as a crypto exchange.
but MEXC is now going beyond crypto, with products that let users explore different parts of the stock market too.
and that got me thinking:
why does accessing traditional markets still feel so different h
824 views · 66 likes
· 27 reposts · 40 replies
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happy weekend fams
enjoy your weekend mutuals https://t.co/R2JrrwuFBh
840 views · 89 likes
· 12 reposts · 73 replies
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0:32
fvk mehnnnn 😭
i’m actually too good with this design thing.
the way i think differently needs to be studied fr 😂
good night fam
we go again tomorrow, surely.
and abeg, gib support to the post.🤝 https://t.co/34erls4SUe
986 views · 41 likes
· 8 reposts · 22 replies
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@Tajudeen @axisrobotics well detailed thread on axis robotics
33 views · 2 likes
· 0 reposts · 0 replies
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that’s what makes the contribution side interesting to me.
you’re not just accumulating activity.
you’re helping improve the quality of the data going into physical ai.
and when the objective is to teach machines how to interact with the physical world,
quality isn’t a bonus.
72 views · 17 likes
· 0 reposts · 0 replies
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especially with post-training.
you don’t want to take control every time a policy moves slightly differently from what you expected.
you want to intervene when a meaningful correction is needed.
then make that correction cleanly.
because every intervention is potentially
75 views · 15 likes
· 0 reposts · 1 replies
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that’s why i find the way axis approaches contribution interesting.
it’s not simply:
more tasks = better contributor.
things like score, difficulty and diversity matter too.
which changes how i’d approach the platform.
i wouldn’t focus only on completing as many tasks as htt
78 views · 18 likes
· 0 reposts · 2 replies
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this matters because the goal isn’t to collect random robot movements.
the goal is to create data that can actually help train better policies.
think about it from the robot’s perspective.
if you give it thousands of demonstrations where the movements are inconsistent,
95 views · 19 likes
· 0 reposts · 1 replies
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because completing a task isn’t just about reaching the end.
the trajectory you create needs to be useful.
the robot needs to perform the task properly.
the movement needs to make sense.
and unnecessary movements or messy interactions can reduce the quality of what you’re
161 views · 22 likes
· 0 reposts · 1 replies
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there’s a trap with contribution platforms.
you see a task.
you complete it.
you get your points.
so naturally, the next thought is:
“how many more can i do?”
but with @axisrobotics, i think there’s a better question to ask:
“how good is the data i’m actually creating?” http
2.8K views · 84 likes
· 29 reposts · 36 replies
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Face aux comptes de taille comparable
23 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. portée ordinaire pour sa taille, réaction plus forte que la moyenne.
Vues médianes543ce compte924médiane pour 10K–100K
Portée, %4.50%ce compte3.62%médiane pour 10K–100K
Engagement, %8.05%ce compte1.52%médiane pour 10K–100K
| Indicateur | Ce compte | Médiane pour 10K–100K | Rapport |
|---|---|---|---|
| Vues médianes par post | 543 | 924 | 0.59× |
| Portée (vues ÷ abonnés) | 4.50% | 3.62% | 1.24× |
| Taux d'engagement | 8.05% | 1.52% | 5.29× |
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
1211 Sep
84012 Sep
824
5
457
543
4.7K21 Sep
1.7K22 Sep
237.2K
1.1K
876
1.9K23 Sep
1.1K
410
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
0.00%11 Sep
20.71%12 Sep
16.14%
0.00%
8.32%
5.52%
4.96%21 Sep
8.56%22 Sep
0.51%
7.02%
5.25%
8.23%23 Sep
12.84%
8.05%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes64.1%1 807 in total
Reposts10.5%297 in total
Replies18.5%520 in total
Quotes3.2%90 in total
Bookmarks3.7%104 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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