We've been running a data pipeline for about 18 months now, and one metric I keep coming back to is the real cost per successful request not just the price per GB, but the total cost including retries, failed requests, and the engineering time spent debugging.
Here's what I've learned about calculating the true cost:
1. Sticker price is only half the story
Most providers advertise a per-GB rate, but that number doesn't include the requests that fail and get retried. If your provider charges for bandwidth and you're burning bandwidth on failed requests, your effective cost per successful request can be 2 3 higher than the advertised rate.
Most "verification" online isn't real verification. A blue checkmark you can buy for $8/month. A link-in-bio page where you just type a URL and hope people believe it's yours. None of it actually proves you own the account you're claiming.
I built Scoop to fix that.
Connect/Log the accounts you already use (Google, LinkedIn, Instagram, Facebook, etc.) through secure sign-in ownership is cryptographically verified, not just typed in
Add any other profile you want to log, including platforms that aren't officially supported with secure sign-in
Every event you attend, Journey you join, and review you leave is tied back to that verified profile no anonymous accounts hiding behind the interaction, which deepens your validity
Hosts creating events can see verified RSVPs before anyone shows up at the door and cross verfiy the users accounts when they show up
It's live on iOS now, and I'm launching publicly on Product Hunt tomorrow.
I built rebrief after losing days more than once to reverse-engineering someone else's codebase (including my own vibe-coded ones) - figuring out the stack, hunting for stray TODOs, wondering if a secret got left in somewhere.
rebrief scan . - and in about 30 seconds you get a REBRIEF.md: stack, a filtered history of real decisions, a risk map, and a checklist of where to start. Fully local, free, open source.
Genuinely curious: what other signals would you want in a report like this? Already thinking about a .rebriefignore file and a GitHub Action for auto-scanning PRs.
I've been building FlowLogic.AI solo since April, and wanted to get this community's take before I go further.
The problem: every SOP/process documentation tool I looked at (Scribe, Tango, etc.) makes you re-record your screen to capture a workflow even if you've already explained that exact process to a teammate in Slack an hour ago.
So I built something that skips that step: paste in the messy text (a Slack thread, a rambling explanation, whatever), and it generates a clean, structured SOP steps, owners, time estimates, all of it. You can edit, save, and export to Word from there.
Senior backend interviews often don t fail because of missing knowledge they fail because candidates don t get feedback on how their thinking is evaluated.
What always frustrated me wasn t lack of knowledge it was the lack of feedback.
I just went live with Insight Helix, an AI-powered investing research and education tool designed to help people track portfolios, understand companies, and build long-term investing knowledge with confidence.
Building this as a small creator means I rely entirely on communities like this for feedback. I would love to know:
I've been building PairUp.chat over the past few months with one goal: making it easier to meet new people in a safe and meaningful way.
Unlike traditional random chat platforms, PairUp combines AI-powered matching with communities, voice and video chat, stories, and interest-based conversations. We've also built AI moderation to help create a safer experience.
