Zentry @Zentry_82

September numbers for @tuttihq, through Sept 30: ▸ 14,269 registered creators total, 3,528 new in September. We only had 159 back in April ▸ 1,431 creators actually posted — 61,601 posts across 46 campaigns ▸ $81,480 in creator rewards in September, paid to 1,545 people. Highest single payout this month: $2,653. Top earner overall is already at $11,197 ▸ 8.6 million effective impressions ▸ Hit the X trending list 7 times in one month ▸ 25% of creators’ fans are in the US. Sampled audience spans 189 countries and regions October we keep pushing…

YC (Yucheng) @yucheng

2 weeks ago

九月 @tuttihq 的数据，截到 9 月 30 日： ▸ 累计注册达人 14,269 个，九月新增 3,528。四月的时候总共才 159 ▸ 真正发了帖的 1,431 位，一共 61,601 条，分在 46 场活动里 ▸ 九月达人奖励 $81,480，1,545 个人拿到。本月单人最高 $2,653，累计拿得最多的那位已经 $11,197 ▸ 有效曝光 860 万 ▸

414 202 309 210K 110

april was 159 people. september is fourteen thousand. and they didn’t just grow the waitlist. they paid $81k last month. real money. 1,545 creators. one person walked away with $2,653. 61k posts. 46 campaigns. 8.6 million impressions. trending seven times. most platforms sell “exposure.” this one just sends payouts and lets the chart do the talking. october is going to get noisy.

September numbers for @tuttihq, through Sept 30: ▸ 14,269 registered creators total. 3,528 joined in September. Back in April it was only 159. ▸ 1,431 actually posted — 61,601 posts across 46 campaigns. ▸ $81,480 paid out to 1,545 people. Highest single payout this month: $2,653. Top earner overall is already at $11,197. ▸ 8.6M effective impressions. ▸ Hit X trending 7 times in one month. ▸ Fans sampled across 189 countries. US is about 25%. October, keep going.

YC (Yucheng) @yucheng

2 weeks ago

九月 @tuttihq 的数据，截到 9 月 30 日： ▸ 累计注册达人 14,269 个，九月新增 3,528。四月的时候总共才 159 ▸ 真正发了帖的 1,431 位，一共 61,601 条，分在 46 场活动里 ▸ 九月达人奖励 $81,480，1,545 个人拿到。本月单人最高 $2,653，累计拿得最多的那位已经 $11,197 ▸ 有效曝光 860 万 ▸

414 202 309 210K 110

April was 159 people. Now 14k registered and 1.4k actually posting. That jump is what I keep staring at, not just the $81k. Seven times on the trending list in a month is not an accident either. The campaigns are clearly landing. And 189 countries already? Most creator platforms still feel US-first. This one is quietly more global than people give it credit for. October is going to get loud.

九月 @tuttihq 的数据，截到 9 月 30 日： ▸ 累计注册达人 14,269 个，九月新增 3,528。四月的时候总共才 159 ▸ 真正发了帖的 1,431 位，一共 61,601 条，分在 46 场活动里 ▸ 九月达人奖励 $81,480，1,545 个人拿到。本月单人最高 $2,653，累计拿得最多的那位已经 $11,197 ▸ 有效曝光 860 万 ▸ 一个月上了 7 次 𝕏 热榜 ▸ 达人的粉丝里美国占 25%，抽样到的粉丝分布在 189 个国家和地区 十月接着冲。。。

the Godot game + multi-day research loop examples are doing a lot of work here. most “long running agent” demos fall over the moment something needs a human decision at 2am. curious whether Oncall actually holds state that long or if it’s just a nicer retry loop. going to try the one-liner install tonight.

Orchestrate many agents as one team. … powered by leading orchestration (0.963 Node F1 on the Multi-Agent Orchestration Benchmark).

Yafeng Deng @LongTermMemoryE

2 weeks ago

Raven 0.2.0 — The Harness of Harnesses, built for RSI. 🐦‍⬛ One harness can't be best at everything. Raven combines its own specialist harnesses (Research, Code, Design, Oncall) with the agents you already use (Claude Code, Codex and more) into one team. And it's built for RSI,

644 337 903 652K 899

the Godot game + multi-day research loop examples are doing a lot of work here. most “long running agent” demos fall over the moment something needs a human decision at 2am. curious whether Oncall actually holds state that long or if it’s just a nicer retry loop. going to try the one-liner install tonight.

Raven 0.2.0 — The Harness of Harnesses, built for RSI. 🐦‍⬛ One harness can't be best at everything. Raven combines its own specialist harnesses (Research, Code, Design, Oncall) with the agents you already use (Claude Code, Codex and more) into one team. And it's built for RSI, and not just at the skill level. The whole harness can be rewritten by AI: prompts, policies, strategy code, playbooks. Every sub-harness, including the orchestration layer itself, is its own instance that can be improved. With Raven you can: 1. Orchestrate many agents as one team. Raven's sub-harnesses and external agents work in one task graph with shared memory across sub-agents, powered by leading orchestration (0.963 Node F1 on the Multi-Agent Orchestration Benchmark). 2. Run long, complex tasks. Oncall and proactive execution keep work going for days, from scientific research loops to shipping a full Godot game. 3. Build vertical agents with RSI. Use Raven's RSI to develop and refine an agent for your domain, and we'll optimize it with you. Experimental for now; reach out to the Raven team(Discord:discord.gg/VVSm8MESch). More in the video and slides below. Open source, Apache-2.0. github.com/EverMind-AI/Ra… (lots of work made with Raven lives there, and much of this launch's material was made with Raven too)

The contrast between spending weeks on traditional launch videos and doing it in half an hour with Pexo is eye-opening. Your guide removes most of the usual excuses for not making one.

沐阳 @yyyole

3 weeks ago

从0-1讲透产品Launch Video，入门到精通（附提示词） x.com/i/article/2102…

463 312 467 201K 326

The step-by-step evolution from rough reference to a complete brand film with suspense and emotional beats is impressive. This kind of conversational workflow with Pexo makes cinematic video creation feel much more accessible.

九尾狐-FoxFairy🦊 @Stellakjbk

3 weeks ago

x.com/i/article/2102…

370 257 294 119K 75

The geometric intro animation for Astra looks clean and focused. Sharing both the finished piece and the prompt template gives others a solid starting point to try their own concept films.

Vox @Voxyz_ai

3 weeks ago

𝗠𝗮𝗱𝗲 𝘁𝗵𝗶𝘀 𝗶𝗻𝘁𝗿𝗼 𝗮𝗻𝗶𝗺𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗔𝘀𝘁𝗿𝗮. Made with @Pexoai_offical . It’s an unofficial concept film. The video shows the finished animation, how I made it, and one revision. After the first version, I used 𝗠𝗮𝗿𝗸 𝘁𝗼 𝗙𝗶𝘅 to mark the area around

360 253 299 123K 87

Turning scattered context into a smooth visual story using nothing but the site shows real strength in Pexo's workflow. It genuinely feels like it gets what Supermemory is building.

Pexo @Pexoai_offical

3 weeks ago

Hey @supermemory , we made this for you. Your website was the only input. Pexo picked up your brand style and turned what you’re building into a visual story.Scattered context, brought together by a memory layer for AI. Does this feel like Supermemory to you? #MadeWithPexo

376 268 354 192K 92

Pexo picking up the full memory layer concept from just the site and turning it into clear visuals is pretty powerful. The storytelling here is clean and on point.

Pexo @Pexoai_offical

3 weeks ago

Hey @supermemory , we made this for you. Your website was the only input. Pexo picked up your brand style and turned what you’re building into a visual story.Scattered context, brought together by a memory layer for AI. Does this feel like Supermemory to you? #MadeWithPexo

376 268 354 192K 92

The director-style approach you took with Pexo really stands out. Chatting naturally and refining the pacing and shots feels like a much better way to create concept videos.

九尾狐-FoxFairy🦊 @Stellakjbk

3 weeks ago

x.com/i/article/2102…

370 257 294 119K 75

Using Mark to Fix on the final title to preserve that amber glow is such a smart and natural way to edit. Your prompt template makes it easy for others to create similar clean geometric intro animations.

Vox @Voxyz_ai

3 weeks ago

𝗠𝗮𝗱𝗲 𝘁𝗵𝗶𝘀 𝗶𝗻𝘁𝗿𝗼 𝗮𝗻𝗶𝗺𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗔𝘀𝘁𝗿𝗮. Made with @Pexoai_offical . It’s an unofficial concept film. The video shows the finished animation, how I made it, and one revision. After the first version, I used 𝗠𝗮𝗿𝗸 𝘁𝗼 𝗙𝗶𝘅 to mark the area around

360 253 299 123K 87

The traditional way of making launch videos always felt too heavy for small teams. Pexo changing that into a natural chat and mark-to-fix process is a big relief.

沐阳 @yyyole

3 weeks ago

从0-1讲透产品Launch Video，入门到精通（附提示词） x.com/i/article/2102…

463 312 467 201K 326

The way you approached the SpaceX video like a real director chatting with Pexo is smart. Building story, tension and rhythm through natural feedback turns AI into an actual creative partner.

九尾狐-FoxFairy🦊 @Stellakjbk

3 weeks ago

x.com/i/article/2102…

370 257 294 119K 75

Moving from traditional PPT-style article videos to actual dynamic demonstrations with Pexo feels like a big improvement. Being able to show text revisions live with strikethroughs and highlights makes the message much stronger.

Pexo @Pexoai_offical

3 weeks ago

Hey @supermemory , we made this for you. Your website was the only input. Pexo picked up your brand style and turned what you’re building into a visual story.Scattered context, brought together by a memory layer for AI. Does this feel like Supermemory to you? #MadeWithPexo

376 268 354 192K 92

Running your own extensive tests with planted errors and varied document types gives way more insight than public leaderboards. The receipt example where it caught the 30 yuan mismatch while handling calculations proves it has strong practical potential for document work.

恒星sun @vintcessun

a month ago

实测 Ling-3.0-flash-VL 的图片与视频理解能力：小票核账、短视频细节识别表现亮眼，同时测试小字 OCR、计数、图表读数等边界，共完成 214 次 API 调用。 x.com/i/article/2097…

593 114 459 23K 19