... site Location (or remote) What you're building How to apply or reach you If you're looking for work: Your background & skills What kinds of roles you're looking for Whether you're open to full-time, part-time

... more projects and responsibilities you have, the more you try to organise your time better and accomplish as much as possible in the shortest amount of time

... users allowed to resolve it, and a forwarded link does not work when someone outside that set clicks it. Two details a paging person will care about. The route is frozen onto the question at ask time rather than resolved at answer time

... Great thread, @busmark_w_nika , appropriately timed while I should get back to my own comments Comment from Amy Ingram(@amy_ingram): @busmark_w_nika  as long as you don't wait too long ;-). The danger is craving perfection, and by the time

... like part or modern day life it seems :p Comment from Odera Joseph Echendu(@josephyoung1): I spend hours without even realizing it Comment from Arnold Oshenye(@oshylabs): Mine is 10 to 12 hours most days, a full time data job and then building products in the evenings, so I will not pretend to have solved it. Two things keep it workable. Training goes in the calendar like a meeting and nothing books over it. And I stopped counting screen time

... before announcing that I had built something. Because I kept the problem to myself instead of talking about it, I couldn't validate whether it was worth building or improving the idea through feedback. I spent a lot of time on it, and it failed. Now: I have built a personal brand on 3+ platforms (Product Hunt, LinkedIn, X, Substack, YT). Community is more likely to answer my curious questions when I am building my own tool  early feedback ... ... product was built, because I needed to have the idea validated and keep momentum while building it. I do not know whether this way is good, because the product can flop too, or be copied. When is the right time

... demo can attract attention, but if someone cannot quickly understand who has the problem, how painful it is, and why the current alternatives are inadequate, the conversation hits a dead end. Based on my own experience and a friend who works at 1752vc, the strongest pitches often make the problem feel inevitable before they spend much time

... pretty fast and versatile (but they probably delegate some things to other freelancers - that's my guess). How many projects can you handle at once? Either solo or together? For example, I was handling 5 or 6 at one time, but it soon took its toll on my health. When it struck, I didn't care about project anymore. Comment from Nika(@busmark_w_nika): @stacywycof83995  Wow, how can you have a bandwidth to manage a caf , that ... ... full-time

... probably saw the VS Code 1.117 story: "Co-authored-by: Copilot" silently added to commits by default, including for code that Copilot never wrote. Microsoft reverted it in 1.119. Good. But the revert is the wrong ending to the right story. The developer anger was about consent and accuracy both valid. What did not get picked up in the discourse was the architectural question underneath: even when Copilot does write code, a git trailer tells you almost nothing useful ... ... does not carry the prompt, the model version, the temperature, the insertion timing

... writing, and problem-solving. VS Code for development and quick edits. Figma creating simple UI mockups and graphics. Google Workspace docs, sheets, and collaboration. A reliable time

... based, and unmeasured, which means the bottleneck didn't disappear, it moved to the one step that's still entirely human and entirely unsystematic. You can generate ten times the output and then rubber-stamp it ten times

... people with revenue data scattered across Stripe, HubSpot, your product database, and a CSV your ops person updates every Monday, none of that advice fits. You end up either buying enterprise tooling that nobody on the team has time to use, or stitching together spreadsheets until they collapse on you. What follows is what I've learned watching teams (and being a part of them) in that gap pick tools, both well and badly. Part 1: Dashboards, reports, and OKRs ... ... weeks. Row 3 is drill-downs for when something on row 1 looks wrong. Anything more than three layers is a navigation problem. Refresh cadence is a decision, not a default. Most operational dashboards do not need real-time

... validating data, and writing the final piece) can now be turned into a solid article in under two hours. (in my case, when I publish a weekly newsletter) We can produce more, much faster, and still have plenty of time left over. But how are you personally using that extra time

... which also makes it cheaper especially for software startups. In many cases, all you really need is ChatGPT or another AI model ( $20 ), a domain (starting around $10 ), some DNS or hosting services (sometimes from $50 ), and your own time. The basic costs can realistically stay around $100 . But the fact that the building is more accessible also creates overcrowding, which means you then have to invest much more time

... income.] And being a founder gave me a greater sense of "ownership", but also responsibility. And, when things are not going well, and business is going poorly, you don't really want to be a founder in bad times. :D Freelancing probably worked out best for me delivering a service, while also protecting your income and time

... like working (a lot of working), but sometimes I struggle with my time. Understand that I am not able to manage/fit everything that I wanted to do in my schedule. So I had to "re-organise" some activities and was able to learn something or make myself productive. It includes: Exercising right after waking up (the first round of exercising, because I train 3 times

... find the most common, expensive, and preventable patterns of failure. The results were almost identical across 85% of them. Here is what the data says. The Timeline to Failure Months 1 6: Everything worked. Fast releases. Happy customers. No time for architecture. Months 7 12: Progress slowed. Strange bugs appeared. "Fix it later" became the motto. Months 13 18: Every new feature broke three existing ones. Deployments became stressful. Months 19 24: Hired more engineers. They just maintained the mess ... ... tests. Every deployment was a gamble. No one could "click a button and confirm that nothing else is broken" . The True Cost (Not Just Engineering Hours) For a 4-person engineering team, the math is brutal. 42% of engineering time

... each.. Comment from Mohit Gupta(@mohit_gupta138): @busmark_w_nika  Ok, if we were to pull on the time thread a bit. Then maybe think about the balance between launching the second service that was tied to you vs

... building Verso ( projectoye.com ) a workspace OS replacing your fragmented tool stack with one AI-native environment. Real-time collaboration week is complete. Notes real-time

... biggest users. Ran LinkedIn ads targeting "Head of IT" and "VP of Infrastructure." Zero. Not one signup. Not even a demo request from an enterprise account. The real cost Let me put numbers on it. Cost category Amount Engineering time (3 people 6 months) $180,000 Product management $60,000 Marketing (ads, content, emails) $25,000 Opportunity cost (features we didn't build) ~$150,000 Total $415,000 That's what we spent to learn we were wrong. What ... ... thought we knew We assumed enterprise customers wanted the same things as our small business users, just more of it. More security. More control. More features. We never talked to them. We read blog posts. We looked at competitor

... this guide isn't just a quick summary. We're going to go deep. We'll explain exactly what Snaply is, how it works, why privacy matters so much for dictation tools, how it stacks up against every major alternative, who it's best for, and how to get the most out of it. Whether you're a solo professional, part of a team, or evaluating dictation software for an enterprise deployment, this is the most complete breakdown ... ... find. Table of Contents Why AI Dictation Matters in 2026 What Makes a Truly Great Dictation App What Is Snaply? Snaply's Core Features: In Depth Why Privacy Is Non-Negotiable for Dictation Snaply vs

... uncomfortable truth: most spaced repetition apps are designed by power users for power users. They've lost sight of the actual goal: remembering things. MemoRep is different. It was built on one insight: simplicity beats complexity every time. The Problem: Feature Creep vs

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor

... founder of Munch. I built this because I kept watching creators spend hours turning one video into posts. You paste a YouTube or Vimeo URL Munch extracts the transcript using 5 fallback strategies (so it actually works on videos competitors choke on) Claude AI writes 8 complete, platform-ready pieces in ~60 seconds. No file uploads. No per-action credits. One munch = everything. PH exclusive: Your first munch is completely free, no card needed. Just sign up at munch.video ... ... voice is injected into every generation. Custom brand instructions: Save your own freeform instructions that apply to every generation. "Always mention our product name in the LinkedIn post." "Keep X threads punchy." Stored on your account, applied automatically every time

... just exposure, but the degree to which AI treats your brand as a credible source . Share of Voice (SOV): Represents your brand s voice share within AI narratives the probability that AI mentions your brand rather than a competitor when answering a topic-related question. Sentiment: Captures the emotional tone of AI mentions positive, neutral, or negative showing how AI portrays your brand. Together, these four metrics answer the two most fundamental GEO questions: How frequently does AI mention ... ... brand? and In what tone and context is the brand represented? 1.2 Trends and Competitor