•twitter15877
listening to
timeline
15877
mentions
tracked
tracked
net sentiment
+24%
4998 positive
9734 neutral
1145 negative
volume & sentiment over time
Sep 30 – Oct 14, 2026 · Daily
sources
most discussed
—
active days
15
mentions
Showing 14151–14175 of 15877 mentions
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• twitter 1w neutralpartifuls requiring linkedin r asking for too much partifuls requiring linkedin r asking for too muchview source ↗
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• twitter 1w neutrala lot of nerf posts are the harness changing under you new system prompt, new tool, same weights, different vibes a lot of nerf posts are the harness changing under you new system prompt, new tool, same weights, different vibesview source ↗
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• twitter 1w neutral@joyceerhl The full conversation with Joyce is here: https://t.co/Xvc6y28a0p @joyceerhl The full conversation with Joyce is here: https://t.co/Xvc6y28a0pview source ↗
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• twitter 1w positiveTrust is the end-to-end metric. @joyceerhl on what survived the jump from engineer to PM. https://t.co/zyOyH8avJY Trust is the end-to-end metric. @joyceerhl on what survived the jump from engineer to PM. https://t.co/zyOyH8avJYview source ↗
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• twitter 1w neutralBeing terminally online paid off for once. What a sweet logo. Being terminally online paid off for once. What a sweet logo.view source ↗
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• twitter 1w neutralMore examples https://t.co/dxTXr6PmmA More examples https://t.co/dxTXr6PmmAview source ↗
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• twitter 1w negativedidn't think names to give my @ChatGPT Dot would be one of my problems this year didn't think names to give my @ChatGPT Dot would be one of my problems this yearview source ↗
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• twitter 1w positiveIf you trim down your prompts, you’re making it worse. At best, you repeat yourself, you re-describe ideas in several ways, you go on tangents, and you explore way beyond the initial scope. More context means more clarity, at least for the LLM. If you trim down your prompts, you’re making it worse. At best, you repeat yourself, you re-describe ideas in several ways, you go on tangents, and you explore way beyond the initial scope. More context means more clarity, at least for the LLM.view source ↗
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• twitter 1w positiveok fine, here's free GLM 5.3 Flash uncensored ~13m TPM shared ~360 TPS peak use it for cybersec, coding, whatever live at https://t.co/HlC3SrGOoI https://t.co/cx6VwHBjTQ ok fine, here's free GLM 5.3 Flash uncensored ~13m TPM shared ~360 TPS peak use it for cybersec, coding, whatever live at https://t.co/HlC3SrGOoI https://t.co/cx6VwHBjTQview source ↗
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• twitter 1w positivehe's so right this is like ecom in 2016 these AI characters have gotten 100M+ views in only the last couple of days which is precisely the first step in making bank with your products you can make your own with higgsfield AI Influencer using genjutsu first you create your own realistic character right in higgs the… he's so right this is like ecom in 2016 these AI characters have gotten 100M+ views in only the last couple of days which is precisely the first step in making bank with your products you can make your own with higgsfield AI Influencer using genjutsu first you create your own realistic character right in higgs then you upload a video and swap in your character it takes the movements from the video and applies them to your character this trend is just popping off making it perfect to market your products millionaires will be made from these AI characters making money in 2026 is on easy mode rnview source ↗
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• twitter 1w positiveTHE VIBE MANUFACTURING PLAYBOOK 1. Measure everything. Digital calipers for small parts, a phone LiDAR app like Polycam to scan a space or an object. Bad measurements are the #1 reason first builds fail 2. Describe it to AI as code. AI is great at code based design tools like OpenSCAD and CadQuery, because the design… THE VIBE MANUFACTURING PLAYBOOK 1. Measure everything. Digital calipers for small parts, a phone LiDAR app like Polycam to scan a space or an object. Bad measurements are the #1 reason first builds fail 2. Describe it to AI as code. AI is great at code based design tools like OpenSCAD and CadQuery, because the design is literally code. Zoo's Text-to-CAD does it directly! 3. Use real CAD files. The text to 3D models on Hugging Face make shapes that look right, but factories need precise files: STEP for machined parts, DXF for lasercut metal, STL for 3D printing 4. Make sure it can be made. Ask the AI to check the design against how factories actually work: how tight metal can bend, how small a hole can be, how much wiggle room parts need etc... 5. Prototype in plastic first. A $300 to $600 home 3D printer like a Bambu Lab lets you test the fit overnight before paying for metal (really fun to play with too!) 6. Pay an engineer for 1 hour. Before your first real order, have a mechanical engineer on Upwork etc review the files. It's the cheapest insurance you'll ever buy. 7. Send it out. SendCutSend cuts and bends metal, Xometry and Protolabs handle machining and plastic, JLCPCB builds circuit boards. Instant quotes, and parts usually ship in days. 8. Add the brains. Most smart features run on a cheap wifi chip like the ESP32. Design the board in KiCad, and use ESPHome to control it straight from your phone. 9. Make one, then fix it. Your first version will be off somewhere! Order a single unit, test it, and adjust. 10. Do the math. Add up parts, finishing, assembly, packaging, and shipping. Custom products are hard to resell, so price for healthy margins. 11. Sell the design and make to order. Let customers adjust the measurements, and only manufacture after they pay. Zero warehouse, zero unsold stock. 12. Handle the boring part. If it plugs into a wall or touches kids, you'll need safety certification. It's slow and annoying, which is exactly why it's a moview source ↗
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• twitter 1w neutralSome of these are just surreal https://t.co/K7CWO32mv3 Some of these are just surreal https://t.co/K7CWO32mv3view source ↗
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• twitter 1w negativeWHAT DID I JUST WATCH? 😭 https://t.co/fjXrmlaPQB WHAT DID I JUST WATCH? 😭 https://t.co/fjXrmlaPQBview source ↗
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• twitter 1w neutralSpotted in EWR Terminal C 👀 https://t.co/JO1vrfxJ3I Spotted in EWR Terminal C 👀 https://t.co/JO1vrfxJ3Iview source ↗
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• twitter 1w positive話題のOpus5.5のモーショングラフィックやってみた🚀 https://t.co/9YgNOHon1c 話題のOpus5.5のモーショングラフィックやってみた🚀 https://t.co/9YgNOHon1cview source ↗
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• twitter 1w negativeTired of those shitty Mermaid diagrams? We're working on bringing them to life with Dagflo! STATIC DIAGRAMS SUCK https://t.co/KSxvENZgkV Tired of those shitty Mermaid diagrams? We're working on bringing them to life with Dagflo! STATIC DIAGRAMS SUCK https://t.co/KSxvENZgkVview source ↗
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• twitter 1w neutralopencode2chrome opencode2chromeview source ↗
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• twitter 1w neutralGot all my ducks in a row for this one. I used Cursor cloud agents to run it, and I'm not just quacking about it. I gave 6 models the same prompt: a cel-shaded toon pond with wave-equation ripples, ducks and lily pads. I used the @cursor_ai cloud agents to run each one, one after another. No fowl play, no waddling aro… Got all my ducks in a row for this one. I used Cursor cloud agents to run it, and I'm not just quacking about it. I gave 6 models the same prompt: a cel-shaded toon pond with wave-equation ripples, ducks and lily pads. I used the @cursor_ai cloud agents to run each one, one after another. No fowl play, no waddling around in my own setup. Each agent built the pond, tested it, and sent me back a working page. I just sat back and let them do the paddling. Every duck bobs on the waves, tilts with the slope, and gets pushed around by the ripples. Tap the water and the rings flap out. Hit rain and it's a real downpour. Some models were a real quack-up. Some had me feeling a little bill-ious. All six ran with zero console errors. That's a lot of wing it, and it worked. Cloud agents let me test more models without lifting a feather. Full side-by-side video below. It's going to be un-fowl-gettable. Follow me so you don't miss future clips. No need to duck out now.view source ↗
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• twitter 1w neutralRT @zachdive: I’m looking for an extremely high-agency engineer to join us at Adam. Bonus points if you’ve been a founder or know your way… RT @zachdive: I’m looking for an extremely high-agency engineer to join us at Adam. Bonus points if you’ve been a founder or know your way…view source ↗
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• twitter 1w neutralMy unfair advantage is that I have way too much fun doing this My unfair advantage is that I have way too much fun doing thisview source ↗
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• twitter 1w positiveIt's incredible how you can just fetch all merged PRs from the last 6 months, and have agents analyze the most common comments reviewers leave as feedback, and then ask them to find a way to prevent that before it reaches review, through rules, linters and what not. It's incredible how you can just fetch all merged PRs from the last 6 months, and have agents analyze the most common comments reviewers leave as feedback, and then ask them to find a way to prevent that before it reaches review, through rules, linters and what not.view source ↗
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• twitter 1w positiveFounders should take a second every once in a while and appreciate how incredibly cool it is to build something from nothing. Founders should take a second every once in a while and appreciate how incredibly cool it is to build something from nothing.view source ↗
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• twitter 1w negativeA nightmare you can’t wake up from. In the Shop now! https://t.co/xNmEXTl6k2 A nightmare you can’t wake up from. In the Shop now! https://t.co/xNmEXTl6k2view source ↗
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• twitter 1w neutralIf you missed the shirt, come to NousCon to get swagged up https://t.co/yBUNnR4wZj If you missed the shirt, come to NousCon to get swagged up https://t.co/yBUNnR4wZjview source ↗
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• twitter 1w positiveWow Korean blockchain week was better than expected 🇰🇷 Bought a leather jacket and terrorized the streets of Hongdae Met a lot of cool people and projects Time to keep it pushing to @token2049 in Singapore with @polysights 🇸🇬 https://t.co/ACO4yOOBgD Wow Korean blockchain week was better than expected 🇰🇷 Bought a leather jacket and terrorized the streets of Hongdae Met a lot of cool people and projects Time to keep it pushing to @token2049 in Singapore with @polysights 🇸🇬 https://t.co/ACO4yOOBgDview source ↗