Gajesh ✓
@gajesh · Berkeley, CA · joined 09 Dec 2016
engineer, chaos agent @eigenlabs, creator @darkbloomai. perpetually curious optimist. entropic. open innovation; formerly: LZ, Telegram
51 166Followers
2 900Following
21 977Posts total
3MViews on collected posts
Posts recentes
Procurando novos posts…
I’m really surprised that till date: no one has built a video game around the greatest Indian epic (Mahabharata);
I have personally found a lot of value from them and made me a better person.
I’m likely going to put my Astra on this as goal mode.
If this is fully built well,
1.8K views · 20 likes
· 2 reposts · 1 replies
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Structurally there will be more founders / inventors who would raise somewhere along these numbers.
$20m in OpenAI / Ant credits
$20m in GCP / AWS credits
$10m in cash from friends & family
Intelligence, Compute and Talent / General Capital
3.2K views · 25 likes
· 0 reposts · 7 replies
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@gajesh I’m going to be cynical and say this is heavily subsidized by the government. DeepSeek was the first serious chinese contender to OpenAI. In order to achieve open weights and low api costs it HAD to be subsidized.
I’m calling a price jump to Kimi K3 levels for V5
487 views · 1 likes
· 0 reposts · 0 replies
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@gajesh It's the multi-head latent attention architecture DeepSeek invented. GLM5.3 flash also incorporated it , it's why they were able to serve 100T tokens per day. The compression algorithm there can serve 10x more users
585 views · 2 likes
· 0 reposts · 0 replies
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I'm genuinely curious and want to understand how DeepSeek V4 Flash price ($0.03 in / $0.10 / out) on par with GPT OSS 20B ($0.02 / $0.10).
How are they able to achieve this? or is this subsidized? https://t.co/XXZxOsooxi
17.4K views · 93 likes
· 1 reposts · 24 replies
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@gajesh Congrats! Added https://t.co/9cL4HqvqSf harness support ( https://t.co/NU8D4IXXr5 ) and joining the fleet.
2.9K views · 14 likes
· 1 reposts · 1 replies
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how it started. how it is going.
it was just a 2 week research side project which i launched at 12am in tokyo (jet lagged).
and went to sleep.
woke up in the middle of the night and it went viral.
the start of it was easy.
maintenance, business and productionization ht
99.1K views · 114 likes
· 6 reposts · 10 replies
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@gajesh @pratikg @darkbloomai Let’s goooo 🔥🔥🔥🔥🔥
19K views · 16 likes
· 1 reposts · 1 replies
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Darkbloom is back in action;
Yesterday, we went from free tier to paid tier on OpenRouter.
We have fulfilled on track close at 4.5B tokens served and $102K ARR.
We are open network of Mac machines (250 online right now). On average, people are earning $120-200 per month per h
2.7M views · 2K likes
· 125 reposts · 168 replies
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agents [dot] eigencloud [dot] xyz
https://t.co/FQWHqBdH0i
2K views · 18 likes
· 0 reposts · 0 replies
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Say hello to EigenCloud AgentKit Beta! 🧰
A toolkit for building sovereign agents that can:
- Hold assets
- Make payments
- Run continuously
- Prove what they’re running
The agentic era needs more than intelligence. It needs sovereignty and verifiability. https://t.co/7mXGeRrZT
24.9K views · 128 likes
· 22 reposts · 20 replies
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personal news: stepping into leading developer growth; still doing research engineering.
first order of business: sovereign agentkit.
deploy a media agent in a few clicks for $10. it owns its own substack, email, and wallet.
agents that own property are agents you can own. htt
115.7K views · 172 likes
· 19 reposts · 31 replies
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AI will have better taste than humans within two years.
Taste is subset of wisdom. Wisdom is developed with experience and data.
As agents become more autonomous, they will live, learn and adapt.
I don’t think humans having taste is good enough argument for why are we unique
5.4K views · 26 likes
· 1 reposts · 5 replies
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Em comparação com contas do mesmo porte
15 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.
Mediana de visualizações2 880esta conta924mediana para 10K–100K
Alcance, %5.63%esta conta3.62%mediana para 10K–100K
Engajamento, %0.34%esta conta1.52%mediana para 10K–100K
| Métrica | Esta conta | Mediana para 10K–100K | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 2 880 | 924 | 3.12× |
| Alcance (visualizações ÷ seguidores) | 5.63% | 3.62% | 1.55× |
| Taxa de engajamento | 0.34% | 1.52% | 0.22× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
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
19K22 Aug
99.1K
84K
712
1K
2.9K
17.4K28 Aug
1.6K
585
487
3.3K6 Sep
3.2K7 Sep
2.2K
1.8K9 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
0.09%22 Aug
0.13%
0.08%
0.28%
0.20%
0.56%
0.69%28 Aug
0.67%
0.34%
0.21%
0.70%6 Sep
1.01%7 Sep
1.14%
1.31%9 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes39.1%2 755 in total
Reposts2.6%181 in total
Replies3.9%276 in total
Quotes1.3%94 in total
Bookmarks53.1%3 745 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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