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Linkdaze's smart digital calendar stands out for not putting its features behind a paywall, including an AI meal planner tool.

Engineers who only understand the technology, and never the business it serves, hit a ceiling early. The best ones develop commercial awareness — a real sense of how value is created, funded, and sold. Two days at 21BY72 Season 4, one of Bharat's leading startup summits — eighty-five ventures on the floor and live pitches in front of six hundred investors — was a concentrated lesson in exactly that, and I wrote about it in this reflection . Technology is a means; the business is the point It's easy, as an engineer, to treat the product as the whole world and the commercial side as someone else's problem. Sitting in a room where eighty-five ventures pitched to investors makes the truth obvious: the technology is a means to a business end, and understanding that end makes you a better engineer, not a distracted one. Watching founders pitch — being judged not on how clever the build was but on whether it solved a real problem people would pay for — reframes how you think about your own work. It pushes you to ask "who is this for and why does it matter" before "how do I build it." What the summit floor teaches an engineer Investors buy problems solved, not features built. The pitches that landed were about a real need and a credible path to meeting it — a discipline that improves engineering priorities directly. Commercial context sharpens technical decisions. When you understand the business constraints — cost, speed to market, who the customer actually is — you make better trade-offs in the architecture, not worse ones. Exposure recalibrates ambition. Being around people building real ventures at scale resets your sense of what's possible and what "serious" looks like. The takeaway The most rounded engineers I've come to admire pair technical depth with genuine commercial awareness. Spending two days inside a major startup summit, watching how businesses are pitched, funded, and built, was a deliberate investment in the half of the picture that a pure engineering educ

If you've ever wondered whether you can just charge your phone with the cable for your laptop, read on and find out how to tell.

Voice and chat assistants for the home share a deceptively hard job: turning messy natural language into precise, structured commands. “Make it cozy in here” has to become a concrete intent plus the right slots — which device, which room, which value. Domux is an open model from iFlytek that focuses on exactly this problem: command understanding for smart-home assistants, framed as intent parsing and slot filling. What it is Task: smart-home command understanding — intent parsing + slot filling Base model: fine-tuned on google/gemma-4-E2B-it Modality: multimodal (image + text input) Target: edge / on-device deployment rather than large cloud models License: Gemma Why the compact base matters Building on the small Gemma-4-E2B base keeps Domux in a size class meant to run close to the device. For home assistants, that direction is attractive: keeping command understanding on-device can reduce round-trips and keep more interaction local, instead of routing every utterance to a large hosted model. Try it The model card is on Hugging Face (access is gated — you may need to log in and request access): 👉 https://huggingface.co/iFlytekOpenSource/Domux We're sharing open work like this because on-device, task-focused models are a practical piece of the foundation-model and serving story — not everything needs to be a giant cloud model.

The single biggest operational risk for early-stage founders remains hiring traditional hourly dev shops. Before partnering with any external dev team, I've learned to run them through this 5-point evaluation framework: The 5-Point Evaluation (co-founder approved) 1. Quality of Questions If a team asks zero questions, it’s an immediate red flag. It's impossible to deeply understand a project without asking anything. But quality matters. Weak devs ask easily googled questions about basic blockchain mechanics. Strong engineers ask highly specific questions focused entirely on your business logic, edge cases, and tokenomics. 2. Proposing Solutions, Not Problems (obvious one) A weak team will message you saying, "We have a problem, how should we fix it?" A mature team says, "We hit a blocker. Here are three architectural workarounds, the trade-offs for each, and our recommendation." 3. Deep Ecosystem Knowledge Coding isn't enough. If an agency claims they can build a top-tier lending protocol but doesn't understand the role of risk engines and oracles, they are tourists. Your developers need to know top-tier market leaders like Gauntlet, Steakhouse, Chaos Labs, and RedStone, and understand how their risk modeling and data feeds directly dictate market parameters. If they lack this context, their expertise is strictly surface-level. 4. Full Product Lifecycle Understanding Writing code and calling it a day is a massive mistake. A real partner understands what happens outside the IDE. They account for security audit buffers, integration with risk providers and oracles before mainnet, and the proper setup of on-chain governance and admin functions. 5. High Agency & Proactivity Elite teams care about your overall success, not just their Jira tickets. To quote a BD i work closely with: “When a client is about to make a massive mistake, you have two choices: stay silent and watch them fail, or step in with your expertise, even uninvited, and say: 'We hear what you want to do,

Don't keep restarting your phone. Try these other steps instead.

Flipkart's quick-commerce venture is delivering 1.1 million to 1.2 million orders a day, nearly triple its November volume.

On the latest episode of Equity, we wonder why the DOJ is investigating startup board seats.

If you want to display media from your phone on a TV screen, you'll need to follow these steps to use AirPlay or screen mirroring.

If you're having trouble with Bluetooth connections on your Pixel phone, this tool is a great place to start your troubleshooting.

On August 19 we launched LeadAce on Product Hunt. It was our first launch to an English speaking audience. I am writing down the numbers while they are still uncomfortable, because the posts I found most useful when I was preparing were the ones that did this. We are a small software company in Tokyo. LeadAce is an outbound sales agent that runs as a Claude Code plugin. The backend is open source. It has been in Public Beta since the launch. The numbers Product Hunt, 24 hours: 2 upvotes 1 comment, which was mine Day rank #160, week rank #758 3 followers on the product page Signups from the launch: 0. Site traffic for the four weeks up to launch day: 6 active users, 27 page views. Referrers were direct 4, producthunt.com 1, t.co 1. Our X account over the same four weeks: 48 posts, 576 impressions total, 2 link clicks, 2 new followers. So the launch did not fail at the landing page. It failed before that. Almost nobody arrived. Where we got stopped This is the part I did not plan for. I spent weeks on the product, the demo video, the gallery images and the copy. Every one of those was ready. What I did not have was accounts. Hacker News. I could not post Show HN at all. HN was limiting Show HN submissions from low karma accounts, and my account had karma 1. I created it years ago and never used it. There is no way to buy your way past this, and there should not be. r/ClaudeAI. My first attempt was removed by automod because the account was too new. I tried again from my older Reddit account, which has an age of 5 years but karma 1. A moderator locked it. The subreddit requires 50 total karma to post a Showcase on the feed. They pointed me to a megathread instead, which is the correct call on their side. My comment there got 67 views and 1 upvote in 19 hours. r/SaaS. The post went through, but Reddit's pre-submit check warned me that it might break the rules on vendor spam. I removed every link from the body and changed the ending to a real question. That version poste

Japanese space startup Letara is betting its hybrid rocket technology can move beyond small satellite thrusters into a broader market for space, defense and security, after raising ¥2.6 billion ($16 million).

Cheap energy, abundant land, and proximity to Beijing have turned a city in Inner Mongolia into a crucial hub for data centers.

Rillet CEO Nicolas Kopp shared growth numbers at a board meeting and set off a fundraising frenzy from Iconiq, Sequoia and others. Without even trying.

Thunderstorms make seismic waves that can be used to find sub-surface features.

The $225 Pebble Time 2 pairs quirky watch faces and apps with physical buttons, an e-paper display, weeks of battery life, and a playful hacker spirit.

If you’ve been circling around Disrupt, then now’s the best time to lock in your pass and start getting ready to join the rest of the startup community gathering in San Francisco from October 13-15 at Moscone West!

Andreessen Horowitz has two partners sitting on the boards of companies that now compete with each other: Ben Horowitz at Databricks and Martin Casado at Fivetran. Nothing too scandalous on the surface, except the Department of Justice has reportedly been investigating the arrangement for almost a year, dusting off a 112-year-old antitrust law that’s rarely used against VCs. Board conflicts aren’t exactly new, and these companies weren’t necessarily direct competitors when a16z first invested […]

There's about to be a big fight to secure access to space.

Cloudflare has recently detailed how it is using AI to transform internal engineering standards from passive documentation into an actively enforced control system across the software development lifecycle. By Craig Risi