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Hassan W. Bhatti ✓

@hwbhatti · joined 08 Nov 2011

Building the future for machine systems - Caestro, @heylemon_ai, @superhuman_ai, and investing in AI. Previously built & sold 2 companies (acq Snowflake).

33 541Followers
1 189Following
6 218Posts total
3.6MViews on collected posts

Derniers posts

Voice is the most natural way to interact with machines now. 1.8K views · 3 likes · 0 reposts · 0 replies Open on X →
🚀 1.1K views · 2 likes · 0 reposts · 0 replies Open on X →
A Benchmark for AI Productivity Agents. There are plenty of evals for models, but few for the actual agents you use daily, the tools that plan tasks, manage files, and pull from your calendar or email to deliver a finished result. We designed 36 real-world tasks across 12 https
1.4K views · 16 likes · 4 reposts · 8 replies Open on X →
Kimi launches new model. Fable included in subscription. Wonder why 😜 887 views · 3 likes · 0 reposts · 1 replies Open on X →
Lemon + Claude code = killer combination 860 views · 4 likes · 0 reposts · 0 replies Open on X →
POV: Our co-founder using Lemon to write prompts in Claude. • Press a key. • Talk naturally. • Watch your thoughts become the perfect prompt. The best AI workflow doesn't start with a keyboard. It starts with your voice. 🍋 https://t.co/xZxTn4mwua
1.9K views · 6 likes · 3 reposts · 4 replies Open on X →
@hwbhatti This looks excellent and is the right interaction pattern for AI. 8.5K views · 31 likes · 2 reposts · 6 replies Open on X →
@hwbhatti so cool to see this come to life. excited to experiment! 8.7K views · 37 likes · 1 reposts · 1 replies Open on X →
@hwbhatti I’ve been trying this. Pretty surreal to have an openclaw-type assistant running 24/7 on your computer. I’m still not used to it, but little by little I’m relying on it more. 4K views · 36 likes · 1 reposts · 0 replies Open on X →
Think it. Say it. Done. The average person spends 3 hours typing + switches 1,000 tabs per day. That ends today. Meet Lemon: The first voice-to-action AI agent that turns your voice commands into finished tasks. RT + Comment "Lemon" to get free access for 30 days. (must be h
1:36
3.6M views · 2.9K likes · 860 reposts · 1.7K replies Open on X →

Face aux comptes de taille comparable

6 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. portée ordinaire pour sa taille, réaction plus faible que la moyenne.

Vues médianes1 260ce compte924médiane pour 10K–100K
Portée, %3.76%ce compte3.62%médiane pour 10K–100K
Engagement, %0.46%ce compte1.52%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post1 2609241.36×
Portée (vues ÷ abonnés)3.76%3.62%1.04×
Taux d'engagement0.46%1.52%0.30×

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

3.6M17 Feb
4K
8.7K
8.5K
1.9K16 Jul
860
88718 Jul
1.4K20 Jul
1.1K
1.8K10 Aug

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.15%17 Feb
0.92%
0.45%
0.46%
0.67%16 Jul
0.47%
0.45%18 Jul
1.97%20 Jul
0.18%
0.17%10 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes35.4%3 037 in total
Reposts10.2%871 in total
Replies19.6%1 683 in total
Bookmarks34.7%2 976 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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