... were relying on popular "security" modules that simply changed the admin login URL to a custom path a classic case of security by obscurity. Spoiler: It didn't help at all. Judging by the logs, automated botnets had been hammering the server 24/7 for weeks. These bots don't care about custom admin URLs or what framework you use. They scan everything indiscriminately, probing REST APIs, flooding common gateways, and looking for zero-day vulnerabilities in any third-party packages ...

... does. From there it was just reading the boot path: ready gated the whole UI on boot(), and boot() waited for folders and the first page of mail all through the single SQLite connection the catch-up sync was hammering. The logs in this release exist so next time I don't have to reason it out from "it fixed itself." Comment from Arash Rahimi(@irahimiam): The 2-second shell fallback is the detail that actually fixes the problem ...

... Product Hunt We're building Argus, our API security platform. The problem: security tools tell you an endpoint is getting hammered, but not whether that matters. Most abuse traffic is noise. Some of it isn't. Teams burn hours figuring out which is which. Argus closes that gap. When it sees abnormal abuse frequency on an endpoint, it pulls the raw source code behind that endpoint and uses AI to assess whether an attacker could actually cause damage there ... ... only means "look here." A finding exists only if the code at that endpoint has a reachable damage path: a refund route missing an ownership check, user input reaching a query/command, that kind of thing. A legit user hammering

... manage it, not just set it and forget it. 4. Plan for geo-distribution If your target serves different content based on location, you need city-level precision. But at scale, you also need to ensure you're not hammering the same city from the same IP range. Distribute your traffic not just across IPs, but across geographic regions. 5. Test at scale before you need it Don't discover your proxy setup can't handle the load when your ...

... Cache, deduplicate, and stop wasting requests This sounds obvious but most teams skip it. If you're hitting the same endpoints repeatedly, implement local caching. Deduplicate your URL lists before dispatching jobs. Add smart retry logic that doesn't hammer the same failing URL 50 times. All those "small" wasted requests add up to real money at scale. 4. Transparent pricing saves you from surprise bills The worst cost leaks come from hidden fees bandwidth overages, "premium country" surcharges, extra ...

... read in a while, most tools would just quietly bump a token limit and call it done. on the backward history walk, for someone with a genuinely huge mailbox (10+ years, multiple folders) does that background pass end up hammering the IMAP server hard enough that you had to rate-limit it yourselves, or does it stay small enough not to matter ...

... early. It would have been easy to launch as another meditation app and lean on pretty screens, but that s not a problem people feel urgency around. So we positioned it as a tool, closer to a hammer than a wellness product: you re anxious before a meeting, you need to be calm in five minutes, here s how. That framing alone changed how people responded to it, way more than any UI polish did. So yeah ... ... naming the problem is the actual unlock. The demo just has to not get in the way of it. Comment from Viraj Parab(@viraj_parab): StartupHQ to organize competitor

... realistic sessions, log the input and output tokens per session, then multiply by your expected usage volume.. that gives you a real cost-per-user to model against. Add a generous buffer for the power users who'll hammer it way harder than average, they're the ones who blow up your margins. Comment from Roopesh Donde(@roopesh_donde): @davem_0 I am working on an AI writing tool, and I constantly think about API costs. Ran calculations with ...

... Gonna check out the beta, good luck with it. Comment from Nolan Vu(@nolan_vu): @samuelcrotti  Real pain point, props for tackling it head on. Ran a small Shopify store for a bit and the ad spend vs actual profit math was always a mess of half-updated spreadsheets, never trusted the number by the time I looked at it. If Margn can pull that into one reliable figure without me reconciling three platforms by hand, that's worth ... ... between what people say and how they say it is where the real signal lives. The "hidden between the words" framing is spot on. How well does it handle text-based async interviews vs

... included. Would love honest feedback, especially from anyone who's hit this problem before. formroute.dev Comment from Mustafa Arian(@thenameisarian): good positioning. the unsexy moat for form backends is spam handling. once a public form is up, you get hammered by botnet submissions in the first 72 hours. the form backends that fail are the ones that did not ship rate limits, honeypots, and adaptive captcha by default. how are you handling that on the free tier ... ... offer a clean experience without forcing users to add hcaptcha themselves, you have a real differentiator vs

... indie cinema. We want to give creators their economic sovereignty back so they can carve out their own spaces in theaters and save the raw storytelling that makes cinema great. We are currently deep in internal stress-testing, hammering out final stream bugs, and hardening the infrastructure because we refuse to ship until it is completely unbreakable. I m here to build in public, support the global creator community, and chat with anyone passionate about tech disruption, filmmaking ...

... actual insight, and it's bigger than it looks: making the notification say why it's waiting is what turns a ping into a triage. "Done" makes you tab back to find out what "done" means. "Needs approval vs finished vs

... huge milestone for me. I just hit the "Publish" button on VeloxTx , a real-time stream ledger infrastructure designed specifically for multiplayer games. As a developer, I was tired of seeing traditional databases choke and crash when hammered with thousands of high-frequency live events like player stamina updates, rapid skill cooldowns, and match logs. To solve this, I skipped standard DBs and built VeloxTx on top of Valkey (the open-source high-performance key-value store). It allows game ...

... back into the timeline, start a  New chat  for a fresh session (other threads stay on disk), and  delete  old threads you no longer need. Saves are  debounced  so typing feels smooth without hammering storage on every keystroke. How to use it:  Open  chat history  from the  assistant header  (see also our history popover doc for search and recency grouping). Pick a thread to resume, or start ... ... IndexedDB is where  your thread list and messages live on this device  so you can browse and resume without treating the browser like a disposable tab. Doc:  https://kahana.io/docs/chat-hist... Related:  https://kahana.io/docs/chat-hist... Cloud vs

... techie it quickly becomes a nightmare. I feel so much more confident now about my SaaS as I have a good developer by my side. Comment from Jim Jeffers(@jim_jeffers): The useful split here might be prototype spec vs production spec. Vibe coding is very good at turning a rough product idea into something you can react to, but it s easy for non-technical founders to mistake that artifact for the real system. Before rebuilding with a developer ... ... simincident.com . No programming background apart from casually learning C++ years ago at a basic level. The AI wave was a game changer for me because I always wanted to build my own product. Started by pasting ChatGPT code into VS

... prefer to review the output of agents, rather than individual actions, and run one or more sessions in parallel. What type of developer are you when working with AI coding agents? For context, when @Kilo Code launched their new @VS Code extension last week , with parallel agents, inline diff reviewer, and multi-model comparisons, some users actually wanted more control back. While the team is working on multiple improvements , like better diffs before you approve and permission flow fixes ... ... yulesenmiao): Human in the loop 100% But mostly for my benefits, as I'd like to learn as a PM how things are actually implemented :)) Comment from fmerian(@fmerian): interesting! fun fact: when @Kilo Code launched their new @VS

... early production. Then I hit a wall. Vercel's serverless architecture spins up multiple Lambda instances concurrently. Each instance had its own rate limiter. They had no idea the others existed. Under any real traffic spike, the instances collectively hammered EDGAR well above the rate limit while each individual instance thought it was behaving perfectly. The fix was rebuilding the rate limiter on Upstash Redis: a single shared atomic bucket that all instances hit together. One distributed token bucket, enforced ...

... launch tomorrow. :) Comment from Robat Das(@robat_das): @graham_lewis  Exactly the use case that pushed me to build SQLite-backed per-user quotas into baar-core. Shared limits fall apart the moment one tenant starts hammering the API. Launching it today on PH if you want to check it out. Comment from Jacob McDaniel(@designbyjm): Built an in-app admin AI monitor dashboard to see how different models were being utilized and by who, then revealing ...

... show up? and What's the traffic?" I'd smile. Say something confident. Go home and have no idea. It wasn't just that one question. It was a stack of them I couldn't answer. What are competitors actually running on Meta this week, what's the angle, what's working for them and what should we do? (I had setup one dedicated associate to analyze each competitor

... thread about throttling: - Live rate-limit in the footer rate 4872/5000 reset 23m, coloured muted, warn-yellow under 20%, error-red under 5%. If you hit the ceiling, auto-refresh backs off until the reset time instead of hammering every 60s. - Classified fetch errors the footer says why a refresh failed: rate-limited retry at 14:23, token rejected check $GITHUB_TOKEN, offline retrying, or github errored retrying. You know whether to wait, fix auth, or check the network. - --public ...

... detected conditions mid-flow can read tone and intent before deciding whether to continue Stop when manually entered pauses everything the moment a human steps in Run once / run once in X time prevents the same person from getting hammered by the same flow repeatedly Scenario priority groups mean if multiple triggers fire at once, only the one you've ranked highest actually runs Automatic opt-out detection catches disengagement signals globally without any setup The "this thread is going ...

... deceptively simple: every academic discipline has developed a set of powerful models for understanding reality. Most people only learn the models from their own field and then try to apply them to everything. "To the man with a hammer, everything looks like a nail." His solution? Build a latticework a mental grid of 80 to 100 models drawn from across disciplines and use them simultaneously to analyze any situation: Physics & Systems : Feedback loops, critical mass, entropy, equilibrium Biology ... ... consequences that ripple over time. If your question has a straightforward answer, a search engine is enough. But if your problem involves competing variables, second-order effects, human behavior, and genuine uncertainty that's exactly where AIFlow operates. AIFlow vs

... executed twice : transient slowdowns causing retries duplicated triggers from chat integrations One duplicated summarization run isn t a rounding error when the prompt is already bloated. So why did it hit $250 so fast? Because Claude was my default hammer for every nail, and I unintentionally designed the system to feed itself bigger and bigger inputs. What fixed it (the boring, effective stuff) Hard caps on what gets summarized (smaller windows, tighter selection) Aggressive trimming of tool output (only keep ...

... mass spam) Employers can tell you didn t even try (low effort = low response) You feel like crap because you re lettin a machine do everythin And somehow AI gets the blame?  Nah. That s like blamin a hammer for a crooked nail. AI Ain t Your Babysitter Here s what people ain t gettin : AI is supposed to be your  guide , not your babysitter. It shouldn t: Think for you Feed you pre-chewed answers Wipe your ...

... still in its infancy. Each team I help integrate AI is blown away. It is concerning to think of what will happen to the economy. If the cost of goods and services drop precipitously, will P/E ratios get hammered? Will there really be universal bounty? Will food prices stay in sync with the value of fiat ...