seb ✓

@sebbsssss · joined 28 Jun 2009

Building Memory @cludeproject Prev ByteDance AI, DBS, StarHub Member @superteamsg

13 577Followers

3 721Following

10 437Posts total

271.1KViews on collected posts

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seb ✓@sebbsssss14 Sep

Before we call CludeMem "first" at anything, we tried to prove ourselves wrong. We ran a prior-art check, a search for every model, paper and product that already does what our claim says. The claim we tested was that CludeMem is the first small open model trained to settle 1.3K views · 25 likes · 6 reposts · 2 replies Open on X →

seb ✓@sebbsssss9 Sep

We spent over $100K (compute, dead ends, the lot) and trained on 49M examples across about 3M synthetic life scripts to get a 4B memory specialist that runs fully local. Extract, temporal, reconcile, abstain. LoRA on a 4B base, INT4 is a couple GB on disk, a few GB hot. 3.6K views · 42 likes · 11 reposts · 10 replies Open on X →

seb ✓@sebbsssss8 Sep

Congratulations to our friends at @AskVenice and @ErikVoorhees for leading the way on Private AI. At Clude, we believe your memories should belong to you. That is why we are building a super lightweight, personalized AI memory model that runs fully locally, stays private, and 4.7K views · 38 likes · 7 reposts · 3 replies Open on X →

seb ✓@sebbsssss2 Sep

Looking for someone who actually gets video gen. You write prompts that hit. You can work from a messy brief and still make something original. You are not just chaining templates. Fluency across multiple video models is required. DM me. 1.8K views · 28 likes · 1 reposts · 8 replies Open on X →

seb ✓@sebbsssss23 Aug

@sebbsssss 🫡🫡🫡 64 views · 1 likes · 0 reposts · 0 replies Open on X →

seb ✓@sebbsssss22 Aug

@sebbsssss Head down and building. It's so refreshing to witness! 89 views · 2 likes · 0 reposts · 0 replies Open on X →

seb ✓@sebbsssss22 Aug

@sebbsssss fast, cheap and smart. trifecta! ✅✅✅ 146 views · 3 likes · 0 reposts · 0 replies Open on X →

seb ✓@sebbsssss22 Aug

4B parameters. Light and fast enough to run locally and on your consumer grade GPU. Think less than 16GB Keyword: Local >> Offline and Private AI 5.8K views · 42 likes · 9 reposts · 4 replies Open on X →

seb ✓@sebbsssss20 Aug

Clude trained the world’s first memory model that remembers better than frontier models 100x its size. Read more here: https://t.co/VPrvdMBYr7 12.5K views · 69 likes · 10 reposts · 15 replies Open on X →

seb ✓@sebbsssss29 Jun

@sebbsssss Memory is now an asset!!! 🙌🙌🙌🙌 185 views · 4 likes · 0 reposts · 0 replies Open on X →

seb ✓@sebbsssss29 Jun

@sebbsssss PMP is now live. Clude has taken a significant step toward making AI memory portable, verifiable, and user-owned—laying the foundation for the next generation of AI infrastructure. 58 views · 1 likes · 0 reposts · 0 replies Open on X →

seb ✓@sebbsssss29 Jun

@sebbsssss Memory as an asset. Gmem! 147 views · 5 likes · 0 reposts · 0 replies Open on X →

seb ✓@sebbsssss29 Jun

https://t.co/7KH63LqsS0 240.5K views · 70 likes · 12 reposts · 9 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

9 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงต่อคนมากกว่าบัญชีขนาดเดียวกัน.

ยอดดูมัธยฐาน1 819บัญชีนี้924ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %13.40%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %1.80%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	1 819	924	1.97×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	13.40%	3.62%	3.70×
อัตราการมีส่วนร่วม	1.80%	1.52%	1.18×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

240.5K29 Jun

147

185

12.5K20 Aug

5.8K22 Aug

146

6423 Aug

1.8K2 Sep

4.7K8 Sep

3.6K9 Sep

1.3K14 Sep

Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.04%29 Jun

3.40%

1.72%

2.16%

0.81%20 Aug

0.98%22 Aug

2.05%

2.25%

1.56%23 Aug

2.03%2 Sep

1.05%8 Sep

1.80%9 Sep

2.59%14 Sep

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

What the audience does

Likes68.9%330 in total

Reposts11.7%56 in total

Replies10.6%51 in total

Quotes4.0%19 in total

Bookmarks4.8%23 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.

โพสต์ล่าสุด

เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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