On 11 July I fixed a title bug on /blog/category/[slug]. The old code read posts[0].categories[0].title, which is the first category of the first post, not the category being browsed. Posts belong to more than one category, so the hubs were printing each other's names. The fix was to match the browsed slug instead.
/blog/tag/[slug] was copied from that file. It still runs posts[0].categories[0].title today, 52 days later.
Sometimes you set out to solve a problem and end up solving the wrong one.
I got feedback that the one-click Cloudflare deploy had friction. Cloudflare won't let you set the Vectorize dimensions and metric through wrangler.json, so I went looking for a workaround. One hack led to another. The solution I landed on basically amounted to "hope this works, and if it doesn't, install wrangler and run a command manually."
I believe the most important thing is for founders to have a deep understanding of their product's core users. A common mistake is that new features sometimes end up diminishing the experience for core users, which should be avoided.
The most recognizable failure in agent-assisted coding: the agent tries a fix, hits an error, apologizes with real conviction, and produces the same fix with the variable names shuffled. The apology is what makes it maddening. It saw the failure. It acknowledged the failure. Attempt five is already running.
The explanation isn't that the model is dumb. It's that the model is stateless: every turn, it re-reads the entire session transcript, and that transcript is the whole world it can see. Count what's in that world after four failed attempts. The dominant pattern, by sheer volume, is the failed attempt itself. A human reads that history as mounting evidence to change course. A next-token predictor reads it as what this session does. The history doesn't fence off the bad path it paves it. Even the apology deepens the groove, because apologize-then-retry is a pattern it has seen thousands of times and is faithfully continuing.
There's research that caught this on camera: in one trajectory study of coding agents, failed runs had located the correct file 72 to 81 percent of the time. Finding the right place was never the problem. Letting go of the hypothesis was.
The practical fixes live outside the prompt. A hard budget on turns or tokens, so a stuck run stops instead of politely burning money. A repetition tripwire: if a new attempt looks like the last one, force the agent to list hypotheses it hasn't tested, so the untried paths exist in the transcript and can compete. And the one the vendor manuals themselves recommend: clear the window. The fresh session isn't smarter. It just starts without the gravity, and the constraints you learned travel forward weighing a few dozen tokens instead of four failed attempts.
Hey guys i want to know, at what stage do you start running paid ads? By this I mean facebook and google ads, i dont have a mobile app so not on the app store. And what tools do you use to monitor analytics? I know most of us use stripe, but after some feedback there to help. Appreciate your support
!! The article is about the launch listing platform, not the SEO tool.
StartupBase has a feature called Outrank. Paste a URL, pay $15 or more, and your rank on the leaderboard is the total youve ever paid. Top 8 hold the homepage, and this has gone mini-viral last week.
Credit where due, the copy is the most honest ive read on a launch site: "pay what you want, earn a DR 72 dofollow backlink."
For a time our template directory pages were just a grid of images with titles and download buttons. We thought users just wanted to see the templates away so we kept the design as simple as possible.
The issue was that search engines had no text to read to figure out what the page was really about. We were appearing on the page for our main keywords and our organic traffic stayed the same for six months.
We stopped making templates for a week and went back to update our top twenty category pages. We added a three-sentence introduction at the top of each page that explained exactly what the templates were for and who should use them.
We also added a frequently asked questions section at the bottom to answer common technical questions. In than forty days those specific category pages had a forty-five percent rise in organic search visits.