Sam Bhagwat ✓
@calcsam · joined 28 Aug 2012
building @mastra. author principles of building ai agents, the "most popular book in SF right now". prev cofounder @gatsbyjs
17 223Followers
2 961Following
15 474Posts total
472KViews on collected posts
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fwiw the biggest reasons to NOT use a provider specific harness
is that on days like today you can shift your cost / capability curve outwards
1.3K views · 10 likes
· 0 reposts · 2 replies
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@calcsam There was a time when copy was written with a typewriter or computer instead of a pen and people lost their minds too.
If this is their ideas, arguments and position, who cares how it was written?
1.1K views · 4 likes
· 0 reposts · 0 replies
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@calcsam Thankfully its not a journey of a thought coursing thru neural pathways of an internecine brain as the words flowed, near interminably thru the speeding fingers of the invisible robot manually typing furiously at the keyboard as memorialized by the journey-women typists
5.6K views · 10 likes
· 0 reposts · 2 replies
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@calcsam Did you see the WSJ post by Stanley Druckenmiller https://t.co/3GneXbOOQH was also AI-generated? I guess this is just the norm now. People will get better at recognizing AI-generated text but will also remain sceptical of all human-written text.
6.1K views · 6 likes
· 0 reposts · 1 replies
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Run Astra on Mastra. https://t.co/8DdhaZuBZU
3.7K views · 48 likes
· 7 reposts · 5 replies
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Mastra featured in Times Square! https://t.co/xIsjtOCCFw
2K views · 78 likes
· 8 reposts · 6 replies
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Here's the blog post:
https://t.co/ba7OV50YMG
456 views · 3 likes
· 0 reposts · 0 replies
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Today we're excited to launch sandbox lifecycle controls in Mastra!
Create your sandbox, then pause it, mount it, stop it, kill it, snapshot it: https://t.co/S37PQuVfdw
8.1K views · 113 likes
· 8 reposts · 11 replies
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anyone else seeing codex / claude code exhaustively inspecting .d.ts files?
611 views · 3 likes
· 0 reposts · 2 replies
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We're seeing more and more teams deploy @mastra on @render.
Really enjoyed working with the Render team on this:
2.7K views · 31 likes
· 5 reposts · 0 replies
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Here's the blog post:
https://t.co/n8HDQ2gPTs
702 views · 8 likes
· 0 reposts · 0 replies
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Today we're excited to launch sandbox computer use for Mastra agents!
Your agent can now browse, click, type, and take screenshots in a sandbox: https://t.co/TeNOwlSTtl
14.6K views · 126 likes
· 26 reposts · 17 replies
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Today we're excited to launch harness channels!
Enable multi-user interactions on Slack, iMessage, WhatsApp, and Discord: https://t.co/sWRoeNdNek
9.7K views · 94 likes
· 10 reposts · 8 replies
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Excited to be recognized by Madrona on this list!
Mastra is powering today's cutting edge agentic experiences across embedded SaaS, real-world healthcare/finance, and developer infra.
7.2K views · 58 likes
· 4 reposts · 6 replies
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Here's the full blog post:
https://t.co/f5o3E8H2Na
1.6K views · 17 likes
· 1 reposts · 2 replies
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We’re putting agents in the hands of every developer. And now, with AI, everybody can be a developer.
That’s our mission at Mastra.
1.3K views · 11 likes
· 0 reposts · 1 replies
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Dozens of devs are building agents today for every one building 18 months ago.
In another couple of years, there will be hundreds for every one now.
1.1K views · 11 likes
· 0 reposts · 1 replies
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Early Internet users coined the term “Eternal September” to describe a flood of users that never stopped. In 1993, Internet usage was growing 2,300% per year.
Something similar is happening today with agents.
1.1K views · 13 likes
· 0 reposts · 1 replies
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It’s why we’ve shipped parallel tool calls, subagents, sandboxes, filesystems, skills as Mastra agent primitives (and we’re working on heartbeat, channels, browser access, and web data).
1.2K views · 14 likes
· 0 reposts · 1 replies
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Some people argue that as models get better the harnesses will go away. But over the last 18 months, the models have gotten much better. And…harnesses have become bigger, not smaller.
1.2K views · 11 likes
· 0 reposts · 1 replies
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Platform teams at companies like MongoDB, Workday, and Salesforce reducing toil by automating DevOps and SRE work.
Platforms like Replit letting their users build agents and automations.
1.3K views · 11 likes
· 0 reposts · 1 replies
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A team at Marsh McLennan that built enterprise search used by 100k+ people every day
The team at Brex building agents that helped drive their $5.1B Capital One acquisition.
1.4K views · 13 likes
· 0 reposts · 1 replies
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Teams at scale-ups like Brex, Sanity, and Factorial building agents within their apps, so users can accomplish tasks faster and easier.
A team at Indeed that built a nationally advertised career counselor agent.
1.5K views · 14 likes
· 0 reposts · 1 replies
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Every week we have hundreds of conversations in Slack, Discord, over Zoom, in LinkedIn DMs. We get to watch tens of thousands of first-time AI engineers build complex agents and applications with Mastra.
1.6K views · 14 likes
· 0 reposts · 1 replies
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Done right, great frameworks feel like magic. They make learning new domains easy (or easier). They bring devs into the future, so they don’t get left behind in yesterday’s stack.
Catch us at a bar and we’ll talk your ear off about this stuff. We’re framework guys. We love it.
1.9K views · 16 likes
· 0 reposts · 1 replies
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Great frameworks need great primitive design. API design. Documentation, examples, integrations, onboarding.
Great frameworks give you the tools you need (power), with the right insertion points (extensible), properly sequenced (progressive disclosure), working well together
2.6K views · 19 likes
· 0 reposts · 2 replies
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Face aux comptes de taille comparable
17 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé à plus de monde que les comptes de taille comparable.
Vues médianes2 743ce compte924médiane pour 10K–100K
Portée, %15.93%ce compte3.62%médiane pour 10K–100K
Engagement, %1.14%ce compte1.52%médiane pour 10K–100K
| Indicateur | Ce compte | Médiane pour 10K–100K | Rapport |
|---|---|---|---|
| Vues médianes par post | 2 743 | 924 | 2.97× |
| Portée (vues ÷ abonnés) | 15.93% | 3.62% | 4.40× |
| Taux d'engagement | 1.14% | 1.52% | 0.75× |
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
7022 Sep
2.7K
88
6113 Sep
8.1K
456
140
2K
3.7K
107.1K4 Sep
6.1K
5.6K
1.1K
1.3K
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
1.14%2 Sep
1.31%
4.55%
0.82%3 Sep
1.70%
0.66%
2.14%
4.57%
1.65%
0.58%4 Sep
0.11%
0.23%
0.38%
0.99%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes71.8%1 355 in total
Reposts4.1%78 in total
Replies5.4%102 in total
Quotes1.5%29 in total
Bookmarks17.1%322 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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Frequently asked questions about @calcsam
How many followers does @calcsam have?
17 223 followers.
How many posts has @calcsam published?
15 474 posts.
How do posts by @calcsam perform?
Collected posts: 34. Views: 472 027. Likes: 2 709.