•twitter5450
listening to
timeline
5450
mentions
tracked
tracked
net sentiment
+24%
1722 positive
3315 neutral
413 negative
volume & sentiment over time
Sep 30 – Oct 5, 2026 · Daily
sources
most discussed
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active days
6
mentions
Showing 1126–1150 of 1722 mentions
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• twitter 2d positiveDay 7/30! Looking to #connect with more people who are building & shipping. → Apps → SaaS → AI tools → Websites → Side projects → Whatever you're working on #buildinpublic #buildinginpublic Day 7/30! Looking to #connect with more people who are building & shipping. → Apps → SaaS → AI tools → Websites → Side projects → Whatever you're working on #buildinpublic #buildinginpublicview source ↗
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• twitter 2d positiveI read the "how nerfbench works" post he keeps linking. I don't think anyone else has read it. How is anyone taking this shit seriously??? https://t.co/4T63DH9mso I read the "how nerfbench works" post he keeps linking. I don't think anyone else has read it. How is anyone taking this shit seriously??? https://t.co/4T63DH9msoview source ↗
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• twitter 2d positivemy first tech job was working with this 🐐 https://t.co/XLLx0tgIVH my first tech job was working with this 🐐 https://t.co/XLLx0tgIVHview source ↗
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• twitter 2d positiveBrand new model alert! Solar Mini 4 is free and unlimited in our coding agent This is a fast and efficient workhorse from the top Korean AI lab Try 100% free: https://t.co/uCHw0PuzKO https://t.co/t78piFM8UY Brand new model alert! Solar Mini 4 is free and unlimited in our coding agent This is a fast and efficient workhorse from the top Korean AI lab Try 100% free: https://t.co/uCHw0PuzKO https://t.co/t78piFM8UYview source ↗
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• twitter 2d positiveNight City music video pretty cool! https://t.co/PtLNAvHXKN Night City music video pretty cool! https://t.co/PtLNAvHXKNview source ↗
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• twitter 2d positiveOpus 5.5 is absolutely incredible! Waking up to this minimalist animation generated from just one prompt and music is a total game changer. 🚀 https://t.co/U0ccuUsweG Opus 5.5 is absolutely incredible! Waking up to this minimalist animation generated from just one prompt and music is a total game changer. 🚀 https://t.co/U0ccuUsweGview source ↗
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• twitter 2d positiveThe contrast between hanging up the last phone call of the day of high-stakes decisions and then a minute later walking in the door to the pure love of small children who want to laugh and play and show you every discovery they made that day is the strangest and best thing I have ever experienced in life. The contrast between hanging up the last phone call of the day of high-stakes decisions and then a minute later walking in the door to the pure love of small children who want to laugh and play and show you every discovery they made that day is the strangest and best thing I have ever experienced in life.view source ↗
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• twitter 2d positiveI’M F*CKING BEGGING YOU MAN: - make an AI character - download viral TikToks - use Higgsfield to swap your AI character into viral videos - automate the content loop - monetize the character - make money - buy that M4 comp - spend time with your family - buy a house Here’s EXACTLY how to accomplish the first five: 1… I’M F*CKING BEGGING YOU MAN: - make an AI character - download viral TikToks - use Higgsfield to swap your AI character into viral videos - automate the content loop - monetize the character - make money - buy that M4 comp - spend time with your family - buy a house Here’s EXACTLY how to accomplish the first five: 1. MAKE THE CHARACTER Do not generate some random attractive AI person and start posting. You need ONE character people can recognize. Build a proper character profile first: > face + hair > body type > wardrobe > voice > personality > quirks > niche > little traits that make them recognizable Then make a reference sheet with the character from the front, side, 3/4, full body + multiple expressions. Keep regenerating until you have 5-10 images where it genuinely looks like the same person every time. If the jawline, hairstyle and face change every video, nobody is going to build any attachment to the character. You want someone to see them for half a second and already know who it is. 2. TRAIN THE FYP Make a fresh TikTok/Instagram account and manually set the feed up around the niche you want to enter. Follow accounts in the niche, watch their videos, like/save the good ones, and search for the exact type of content you want your character appearing in. After a while, your FYP basically becomes a nonstop research feed of content already performing in the niche. Now start downloading the winners. I’m talking videos already doing hundreds of thousands or millions of views. You are not sitting there trying to predict what people might watch. The market already told you what works. 3. REPLACE THE CREATOR Take the viral videos you found and have agents swap your character into them with Higgsfield. These videos are 100% proven to work. If you have an entertaining + unique character like Billy Jean, your videos should have a much higher chance of taking off too. So you don’t need much content or marketing experience to get started. You alreadyview source ↗
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• twitter 2d positiveGlad to see this kind of performance on the Apple platform Glad to see this kind of performance on the Apple platformview source ↗
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• twitter 2d 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. Have a frontier model write the design as code. Describe the part to a model like Claude Opus 5.5 or Astra, and … 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. Have a frontier model write the design as code. Describe the part to a model like Claude Opus 5.5 or Astra, and have it write the design in a codebased CAD tool like OpenSCAD or CadQuery. Zoo's Text to CAD does it in one step! 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 certificatview source ↗
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• twitter 2d 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 2d 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 2d 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 2d 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 2d 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 2d 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 2d 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 2d 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 2d 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 ↗
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• twitter 2d positiveResend giveaway 🔥 https://t.co/SbJytk3rx7 Resend giveaway 🔥 https://t.co/SbJytk3rx7view source ↗
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• twitter 2d positiveactually wild opus 5.5 spun 158 agents after I asked it to make the app feel smoother and more joyous. idea is to fix all the unnecessary rerenders and double down on speed. it's been working for the last few hours https://t.co/RaiUfsxguT actually wild opus 5.5 spun 158 agents after I asked it to make the app feel smoother and more joyous. idea is to fix all the unnecessary rerenders and double down on speed. it's been working for the last few hours https://t.co/RaiUfsxguTview source ↗
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• twitter 2d positiveMaybe the next generation is going to be ok… I‘m at a wedding and there’s a drop-dead gorgeous 20 year-old at my table. She‘s sweet and obviously doesn’t realize yet what a siren she is. So, this Old Guy in his 50s (and trying hard to look 25 - think: extra slim fit and a perm) pulls her onto the dance floor. She’s c… Maybe the next generation is going to be ok… I‘m at a wedding and there’s a drop-dead gorgeous 20 year-old at my table. She‘s sweet and obviously doesn’t realize yet what a siren she is. So, this Old Guy in his 50s (and trying hard to look 25 - think: extra slim fit and a perm) pulls her onto the dance floor. She’s clearly weirded out by him dancing up on her. What’s her solution???.....view source ↗
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• twitter 2d positiveRust no longer the defacto best language for agents Compile times are too long, I'm always finding myself bottlenecked by time not intelligence And the agents have gotten really at doing manual memory management now Rust no longer the defacto best language for agents Compile times are too long, I'm always finding myself bottlenecked by time not intelligence And the agents have gotten really at doing manual memory management nowview source ↗
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• twitter 2d positiveOkay so I tested dot and man this is awesome. Whats actually the usage on Pro 100$ of dot ? Unlimited ? Okay so I tested dot and man this is awesome. Whats actually the usage on Pro 100$ of dot ? Unlimited ?view source ↗
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• twitter 2d positiveHappy Friday. We're hiring Forward Deployed Engineers at Varick. You'll be deployed inside some of the largest companies on Earth, solving their hardest problems and redesigning how the whole business runs so it's AI-native. You won't get bored, because every 3-6 months there's a new company and a new problem waiting … Happy Friday. We're hiring Forward Deployed Engineers at Varick. You'll be deployed inside some of the largest companies on Earth, solving their hardest problems and redesigning how the whole business runs so it's AI-native. You won't get bored, because every 3-6 months there's a new company and a new problem waiting for you. Requirements for the role: - Strong engineering. You can write code, design systems, and estimate timelines and resources accurately. - Strong consulting. You communicate clearly, present well, and can command a room of C-suite executives at Fortune 100 companies. - Hungry. We're a lean team of the sharpest people in applied AI, and we're here to win. Apply through our website and we'll read every single application. If it's a fit, we'll reach out by email.view source ↗