Hugo Mercier ✓

@hugomercierooo

previously founded dreem (60m, exited) founder @twin_labs, the ai company builder (100k users, 10m raised) just launched twin stores

15 193Followers

1 919Following

1 582Posts total

4MViews on collected posts

Derniers posts

Hugo Mercier ✓@hugomercierooo15 Sep

@hugomercierooo appstore of agents 164 views · 7 likes · 0 reposts · 0 replies Open on X →

Hugo Mercier ✓@hugomercierooo15 Sep

One more thing. Labs are pacing the frontier. We're accelerating. Twin runs Kimi and DeepSeek on US infrastructure. Cheaper, and your business won't go dark because Dario decided so. Online stores made merchants. App stores made developers. Agent stores are next. Hundreds of 4.6K views · 22 likes · 1 reposts · 1 replies Open on X →

Hugo Mercier ✓@hugomercierooo15 Sep

Don't know what to sell? Ask Twin: "find jobs posted this week on Upwork that an agent could do." A sample from the last day: A collector-market client wants weekly lists of people publicly hunting a specific Rolex ref, verified and deduped. $3,000. Their words: "agentic AI." A

0:09

6.3K views · 21 likes · 1 reposts · 1 replies Open on X →

Hugo Mercier ✓@hugomercierooo15 Sep

For the creator, we handle the plumbing. Each customer gets their own copy of your agent, their own connected accounts, their own triggers. When you improve the agent, every copy updates. Data never crosses between customers. Under the hood: open-weight models that match Opus 5

0:25

7K views · 21 likes · 0 reposts · 1 replies Open on X →

Hugo Mercier ✓@hugomercierooo15 Sep

We kept seeing Twin users duct-tape Lovable and Cursor onto their agents to build an app around them. Some were making thousands a month. Billions of people haven't used an agent yet. Almost nobody wants to set one up. So we designed the storefront for them. Customers connect

0:25

9.4K views · 23 likes · 0 reposts · 1 replies Open on X →

Hugo Mercier ✓@hugomercierooo15 Sep

100k people have built agents on Twin. Starting today, anyone can sell one. Introducing Twin Store. In under 5 minutes, your agent gets a storefront, an app, and Stripe billing. Build once. Twin finds you customers. Get paid monthly. A new wave of wealth is coming, and it htt

2:02

140.1K views · 162 likes · 65 reposts · 67 replies Open on X →

Hugo Mercier ✓@hugomercierooo28 Jan

@hugomercierooo Homepage needs text resizing fam https://t.co/XzuqmFcgvH

158 views · 6 likes · 0 reposts · 2 replies Open on X →

Hugo Mercier ✓@hugomercierooo28 Jan

@hugomercierooo auth is broken for me right now 825 views · 5 likes · 0 reposts · 3 replies Open on X →

Hugo Mercier ✓@hugomercierooo27 Jan

@hugomercierooo Damn. Please mobile optimize your site 😅 317 views · 8 likes · 0 reposts · 1 replies Open on X →

Hugo Mercier ✓@hugomercierooo27 Jan

@hugomercierooo This looks fantastic!! Lets go! 5.1K views · 37 likes · 0 reposts · 2 replies Open on X →

Hugo Mercier ✓@hugomercierooo27 Jan

𝗧𝘄𝗶𝗻 𝗶𝘀 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝘁𝗼 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲. https://t.co/uNuFK3qhXv We can’t wait to see what you’ll build. 𝗥𝗧 𝗮𝗻𝗱 𝗰𝗼𝗺𝗺𝗲𝗻𝘁 “𝗧𝘄𝗶𝗻” 𝘁𝗼 𝗴𝗲𝘁 𝗳𝗿𝗲𝗲 𝗰𝗿𝗲𝗱𝗶𝘁𝘀 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗗𝗠𝘀 👇 https://t.co/39Tu5DvUpj 129.8K views · 383 likes · 242 reposts · 557 replies Open on X →

Hugo Mercier ✓@hugomercierooo27 Jan

What surprised us most: Most builders are 𝗻𝗼𝗻-𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹. Twin writes integrations, fixes errors, and maintains everything on its own. You bring the idea. Twin runs the business. 67.8K views · 168 likes · 10 reposts · 2 replies Open on X →

Hugo Mercier ✓@hugomercierooo27 Jan

Twin agents have 𝗵𝘂𝗺𝗮𝗻-𝗹𝗶𝗸𝗲 𝗺𝗲𝗺𝗼𝗿𝘆. They remember what matters, forget what doesn’t, and maintain context across hundreds of tasks. Once an agent learns how to operate, it switches to smaller models — 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝗮𝘁 𝟭/𝟭𝟬𝘁𝗵 𝘁𝗵𝗲 𝗰𝗼𝘀𝘁. 76.3K views · 202 likes · 13 reposts · 10 replies Open on X →

Hugo Mercier ✓@hugomercierooo27 Jan

The community built things we didn’t think were possible yet: - A 𝘀𝗲𝗹𝗳-𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘁𝗿𝗮𝗱𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺 operating like a one-person hedge fund - A 𝗽𝗹𝘂𝗺𝗯𝗶𝗻𝗴 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 answering calls, dispatching jobs, running daily ops - A 𝗿𝗲𝘁𝗮𝗶𝗹 70.1K views · 225 likes · 15 reposts · 10 replies Open on X →

Hugo Mercier ✓@hugomercierooo27 Jan

Over the last year, AI learned how to write software. But most companies don’t run on code. They run on 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Sales. Support. Finance. Marketing. Logistics. Back-office. That’s 99% of what businesses are. 𝗧𝘄𝗶𝗻 𝘄𝗮𝘀 𝘁𝗵𝗲 𝗺𝗶𝘀𝘀𝗶𝗻𝗴 𝗽𝗶𝗲𝗰𝗲 𝘁𝗼 104.8K views · 276 likes · 17 reposts · 16 replies Open on X →

Hugo Mercier ✓@hugomercierooo27 Jan

Because Twin can: - use any app - control browsers - decide autonomously - remember long-term Beta users didn’t just automate workflows. Some created and ran 𝗳𝘂𝗹𝗹𝘆 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀. 82.5K views · 227 likes · 13 reposts · 7 replies Open on X →

Hugo Mercier ✓@hugomercierooo27 Jan

𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗧𝘄𝗶𝗻 — 𝘁𝗵𝗲 𝗔𝗜 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗯𝘂𝗶𝗹𝗱𝗲𝗿. No setup. Secure. Infinitely scalable. We just raised a $𝟭𝟬𝗠 𝘀𝗲𝗲𝗱. After a beta with 𝟭𝟬𝟬,𝟬𝟬𝟬+ 𝗮𝗴𝗲𝗻𝘁𝘀 𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗱, we’re now opening to everyone. RT and comment “Twin” — first https://t.co/Ktxs4diEy0

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3.2M views · 8.3K likes · 3.1K reposts · 5.9K 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. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes6 647ce compte929médiane pour 10K–100K

Portée, %43.75%ce compte3.45%médiane pour 10K–100K

Engagement, %0.34%ce compte1.50%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	6 647	929	7.16×
Portée (vues ÷ abonnés)	43.75%	3.45%	12.7×
Taux d'engagement	0.34%	1.50%	0.23×

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

70.1K27 Jan

76.3K

67.8K

129.8K

5.1K

317

82528 Jan

158

140.1K15 Sep

9.4K

6.3K

4.6K

164

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

0.36%27 Jan

0.29%

0.27%

0.95%

0.76%

2.84%

0.97%28 Jan

5.06%

0.24%15 Sep

0.26%

0.31%

0.37%

0.52%

4.27%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.50%.

What the audience does

Likes31.3%10 099 in total

Reposts10.8%3 484 in total

Replies20.4%6 562 in total

Quotes2.1%686 in total

Bookmarks35.4%11 391 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

9 Sep

Daily snapshots since 09 Sep 2026; the dashed line is the starting count.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Followers by day

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