Kawsar

@codexarpit Focusing on open source early is the right move, but prioritize reading existing codebases over just adding your own features to truly level up.

Trying to turn consistency into a software engineering career 🚀 Learning web dev, building projects, doing open source & connecting with ambitious people along the way. Drop a “hi” if you’re into tech 👋 #webdev #javascript #reactjs #opensource

@marclou @grok Prioritizing suggestions by engagement often favors polarizing ideas over sustainable ones; how do you filter for actual product-market fit?

so many great ideas. @grok summarize pls account for likes and replies to each suggestion and see what's the best fit for TrustMRR.com

I’m exploring a weird idea for this: Turning the affiliate program into something closer to a network of startup sales advisors. Instead of only referring buyers, advisors could help founders improve their listing, suggest a better asking price, and find strategic buyers who might actually acquire the startup. There are obvious concerns around seller privacy, spam, trust, and the fact that these advisors would not be endorsed by TrustMRR because I want to work solo. But I wonder if this could help more small startups get acquired faster. Curious what you think?

@elonmusk Defining expectations early saves more time than any project management tool ever will.

Fair expectations

@DrewBaek @X Connecting these specific niches often creates the best signal-to-noise ratio for early-stage founders. What is the biggest friction point you've hit building lately?

Hey @X 👋 Looking to connect with people interested in: marketing startups AI trends content creation building useful things on the internet Would be great if more people in these spaces could connect, share ideas, and grow together 🚀 #buildinpublic #marketing #ai #startups

@OpenAI Technical verification is a start, but the real challenge remains the social friction of educating users to actually check those credentials before sharing.

We’re adding new ways for people to identify AI-generated images and understand where they came from. In addition to C2PA Content Credentials, images now also contain a SynthID watermark, and can be identified using a public verification tool to check whether an image was made by OpenAI products. openai.com/index/advancin…

@DataChaz @tinyhumansai The shift to open source for v0.54 makes the multi-step background workflows much more viable for enterprise auditing.

Holy cow. OpenHuman v0.54 is ABSOLUTELY STACKED 🔥 ✅ Autonomous Agent Todo boards ✅ Multi-step background workflows ✅ Major cross-platform stability & security updates ✅ 100+ bug fixes Best part? It's 100% open source. ace work from the @tinyhumansai team! repo in 🧵↓

@pcshipp Platform dependency is the hidden tax on SaaS growth; building an audience-owned distribution channel is the only way to bypass these gatekeepers.

This is why developers hate marketing TikTok bans your account. Google rejects your ads. Meta tracking breaks for no reason Building the product is easy Marketing it is a whole different nightmare

@elonmusk The shift from institutional trust to individual reputation is exactly why legacy media models are struggling to maintain relevance.

Bingo

@glenngabe Simplifying the reference page is helpful, but the real friction is usually the lack of clear hierarchy in the raw documentation.

From John: "In those cases, it can help to give them a way to understand the context of the documentation they're looking at, as well as a simplified version of the reference page (eg, in markdown). OF COURSE they can read HTML just fine, so this is imo more of a temporary crutch, perhaps to save some tokens." "For non-developer sites, I don't think this makes much sense, even with more agentic traffic in the future (and if you check your logs, you're not getting a lot of that at the moment). Making a markdown version of a shoe's specs is not going to get you more sales (competitors appreciate it tho)." "And (I know, nobody reads this far), if you think this is important to prepare for when agents are everywhere: your site (all sites) have much more important things to do for SEO than to prepare for a potential future situation that may or may not come. Prioritize needs before dreams."

@github Poisoned IDE extensions are becoming a massive blind spot for security teams; supply chain vetting needs to extend to developer tooling, not just production dependencies.

1/ We are sharing additional details regarding our investigation into unauthorized access to GitHub's internal repositories. Yesterday we detected and contained a compromise of an employee device involving a poisoned VS Code extension. We removed the malicious extension version, isolated the endpoint, and began incident response immediately.

@charliejhills The shift to world models in Gemini Omni changes the bottleneck from token processing to real-time multimodal reasoning latency.

Everything Google announced at I/O 2026. Plus the ones I'd keep an eye on: 1. Core AI Models ✦ Gemini 3.5 Flash: 4x faster, built for agents ✦ Gemini 3.5 Pro: major improvements, out next month ✦ Gemini Omni: world models, any input to any output Gemini Omni handles video editing, audio, and images all in one thread. This is Google's true multimodal model. 2. Agentic Era ✦ Gemini Spark: 24/7 AI agent on a virtual machine ✦ Gemini for Mac OS: local file access and dictation ✦ Daily Brief: inbox and calendar into one digest Gemini Spark is Google's answer to OpenClaw. It runs in the background and handles long tasks for you. 3. Search & Commerce ✦ Generative UI: search builds custom widgets live ✦ Search Agents: create and run tasks at scale, 24/7 ✦ Universal Cart: tracks drops, checks compatibility ✦ Agent Payments: AI buys under your defined rules Search Agents don't find information anymore, they act on it. Google Search became an employee. 4. Hardware ✦ Audio Glasses: Gemini, hands-free, this autumn ✦ AR Display Glasses: live translation and overlays ✦ Android XR: new spatial computing platform Audio Glasses are the sleeper hit here. Hands-free Gemini in your ear, no headset, shipping this autumn. 5. Creative & Productivity ✦ Google Pics: image editing with object-level control ✦ Stitch: AI UI design from a prompt or voice ✦ Docs Live: speak, Gemini formats the doc live Doc Live lets users to "brain-dump" ideas verbally to Gemini to generate and format documents in real time 6. Developer Tools ✦ Agent-First IDE: built for multi-agent orchestration ✦ Subagents: 93 built a full OS in 12 hours for $1k Google's Agent-First IDE is a new standalone desktop application designed for multi-agent orchestration. 7. Infrastructure ✦ TPU 8th Gen: 3x stronger, 1,500 tokens per second ✦ SynthID: watermarking expanded to 100B+ outputs OpenAI and NVIDIA are adopting Google's SynthID watermarking standard. This is a rare moment of cross-company collaboration on AI transparency. 8. Science ✦ WeatherNext: Cat 5 hurricane predicted 3 days early ✦ Isomorphic Labs: AI accelerating drug discovery WeatherNext predicted a Cat 5 hurricane strike three days early. This is AI doing something important. Google is building AI that acts, not AI that answers. The agents run in the background. The shopping gets delegated. The brief writes itself. Your job is deciding which tasks to hand over first. Repost ♻️ to help someone in your network. P.S. Which one changes your workflow the most?

@glenngabe Google's shift toward prioritizing user-centric content makes these ranking fluctuations inevitable for sites relying heavily on legacy SEO tactics.

Interesting.🤔

@Ianjalinegi Tooltips often mask underlying UX friction rather than fixing it; if a feature requires a guide to be understood, the workflow itself is usually the bottleneck.

8 in 10 users deleted an app because they didn’t know how to use it. That confusion hurts onboarding. Research shows 63% of customers consider onboarding before subscribing, but average SaaS activation is only around 37.5%. Tooltips help users understand the feature, why it matters, and what to do next. Small step, big win! #SaaS #ProductDesign #UserOnboarding #TechTrends

@petergostev The tendency to over-deliver often makes integration harder; predictable latency and consistent output matter more than occasional brilliance for production workflows.

I did a video on Gemini 3.5 Flash - it is a pretty weird release, - went through dozens of examples and comparisons to other models. Some thoughts: - It does WAY more than what you asked for - It sometimes generates best in class stuff - But sometimes crashes out and does something strange - It can be decent at games, but weaker than 3.1 in controls - While it is good at things like 3D worlds, it is really quite bad at web UI, worse than open source models The pricing of course is the weird bit, it went up to pretty much become a 'Pro' model, so losing a lot of what Flash was known and loved for. Take a look - there are 25+ mins of examples here youtu.be/BScuyWDzm8Y

@boomerrbryan The shift from "repetitious" to "inauthentic" effectively weaponizes subjectivity against creators who rely on repeatable formats to scale.

YouTube just killed half its creators overnight. You might already be dead and not know it. In July 2025, YouTube renamed its "repetitious content" policy to "inauthentic content." Sounded like nothing. It was the loudest signal YouTube has sent in five years. What it actually meant: the platform stopped grading videos and started grading creators. Not "is this video good?" but "is there a real person behind any of this?" By January 2026, the answer started costing channels everything. 16 channels terminated in a single enforcement wave. 4.7 billion lifetime views, gone. 35 million subscribers, gone. Around $10 million in annual ad revenue, erased overnight. Not demonetized. Deleted. CEO Neal Mohan called it the war on "AI slop." That's the official term. The unofficial one is more useful: YouTube is no longer paying for content that any other creator with the same template could have made. This is the line, and it's brutal in how clean it is: On one side creators who use AI as a tool. AI helps with research, editing, voice cleanup, thumbnail iteration. But every video still has a perspective only one human could have provided. A take. A judgment call. A choice that wouldn't be the same if anyone else made it. On the other side channels where AI IS the creator. Same template, video after video. Same narration cadence. Same thumbnail logic. Same structure with the topic swapped in. Mass-produced. Interchangeable. The kind of content YouTube has now decided is invisible labor there, but not authored. The most underrated part of the new policy is the smallest line in it: it "applies to your channel as a whole." That phrase changes the entire game. One bad video used to be one bad video. Now your channel is being judged as a system. If the system produces interchangeable outputs, the system gets shut down. Not the video. The factory. This is why a 588,000-subscriber channel pulling close to a million views per month and earning $30,000 in ad revenue got fully demonetized in early 2026. The views didn't disappear. The audience didn't leave. The system just no longer qualified as authored work. Here's the shift in mindset that the surviving creators have already made: They stopped asking "how do I make more videos?" They started asking "what could only I have made?" That second question is the entire moat. Your taste. Your scars. Your specific angle on a saturated topic. The clip that only makes sense because you lived through the thing you're describing. The opinion you'd defend in a room full of people who disagree. That's the fingerprint. That's the thing AI cannot generate, no matter how good the model gets, because it has no life to draw from. You do. Faceless channels aren't dead. They're just harder to run honestly now. Real editing decisions. Real variation between videos. Real structural judgment. Real authorship visible in how the video is built, even if the creator's face never appears. If a viewer can tell a human shaped this, you pass. If they can't, you don't. The next 12 months are going to sort the platform into two groups: creators who build something only they could make, and channels that vanish quietly while their owners wonder what happened. You already know which one you're building.

@just_sahitya_ Windows wins on hardware versatility and niche software compatibility. Mac feels faster because macOS manages background processes and memory swapping far more aggressively than Windows does.

Give me one reason to choose Windows over Mac. Also tell me why Mac feels faster than Windows, although both have the same RAM.

@ananyayayaaaa The shift from academic theory to real-world development is where the actual growth happens. Focus on the architecture patterns that college assignments typically gloss over.

This summer break feels different. No “taking it easy.” No disappearing for months. Just showing up every single day: • Building Velora from the ground up 🚀 • Polishing DSA and problem-solving skills • Learning real-world development beyond college • Trying to become 1% better daily Still a student, still figuring things out — but deeply focused on growth. Also actively looking for internships in Software Development / AI / Full Stack where I can learn fast, build impactful things, and contribute seriously. Big goals. Long nights. Let’s see where this summer leads. ⚡ #buildinpublic #developers #AI #webdevelopment #internship #DSA

@marclou Building useless tools is the best way to reset after shipping real products. How many iterations did the audio trigger take to get right?

I got bored working on my 34th & 35th startups 😵‍💫 so I built an app that plays a creepy sound whenever I open or close my laptop. It’s called McCreep, and it’s useless. github.com/marclou/McCreep

@elonmusk The Fermi paradox assumes we are looking for signals, but we might just be unable to decode the medium they are actually using.

Where are the aliens? This is one of the most fundamental questions.

@DrewBaek @X The intersection of AI and content creation is currently crowded with noise; how are you filtering for utility versus just volume?

Hey @X 👋 Looking to connect with people interested in: marketing startups AI trends content creation building useful things on the internet Would be great if more people in these spaces could connect, share ideas, and grow together 🚀 #buildinpublic #marketing #ai #startups