How Bad Is Bot Traffic Destroying Your Analytics?
I'm curious about everyone's experience with this: How much of your traffic is actually bots?
We've been seeing a pattern where teams are making campaign decisions based on analytics that are heavily skewed by bot traffic. It's not just the obvious stuff, it's fingerprinting, scrapers, and sophisticated traffic that looks legitimate at first glance. And it's poisoning conversion rates, skewing ROI, and making it impossible to trust dashboard data.
My first product is live on Product Hunt
Proofrr is live on Product Hunt. First product that's actually mine, not a client's brief or someone else's brand, and now that it's out there I'm sitting with excited and nervous in equal measure. Nervous is winning a little more than I expected.
The problem is simple. Feedback on creative work is scattered everywhere, WhatsApp, email, a Drive comment, a Figma thread, and nobody remembers which version actually got approved. Proofrr puts it in one place, and clients can leave feedback without even logging in.
90+ people beta tested this before today, so I trust the product. What I wasn't ready for is how different it feels once it's not in front of 90 people I reached out to individually anymore. It's in front of whoever happens to scroll past right now. That's a different kind of exposed.
There's also no revenue yet, so there's no "well at least it's already working" safety net under this. Just a bet that the problem is real enough for strangers to care, and I'm finding out in real time.
I got tired of editing coding tutorial recordings, so I built something that does it from a prompt
If you record coding sessions, you know the problem: 20 minutes of debugging and tangents around 10 minutes of useful content.
I built a tool where you type only the coding demos and it cuts the rest. Each removed segment shows why, and you can override anything. FFmpeg does the final cut server-side, so the MP4 is clean.
Interested in how I built the transcription and segment-analysis pipeline? Happy to share what worked and what didn t. Link - https://focuscut.pages.dev if you want to try it
ShotPorter - order from chaos for photographers, videographers, content-creatirs
I developed a simple philosophy, based on experience:
Don't invent a problem till it hits you
Solve problems you know and understand
Go to the roots and start from there.
It is how ShotPorter appeared: out of a real problem and decades of experience in the photography field. Do you want to hear the real story behind it? Visit ShotPorter.com
built a terminal that hands your task to the next AI agent when one hits its usage limit
hey PH, am saidev, 20, solo dev from india.
the problem: i pay for claude code, codex AND cursor. still, every few hours one of them hits its usage limit right in the middle of a task. then it's open another terminal, re-explain everything to the next agent, lose all the context. felt dumb paying for 3 plans and still getting blocked.
WOULD SALES PEOPLE USE THIS ?
Hey everyone,
I'm building an AI tool that helps HubSpot sales teams save time by cutting down the manual work after sales emails and customer conversations.
It is an AI layer that would be used as a HubSpot sidecard (extension). It can connect to your Gmail and can read sales emails, filter out noise, detect new leads vs follow-ups and turn each one into an approval card showing the extracted info (name, email, phone, company, position, deal-value warm/cold score) with source sentence, summary and next steps, you can approve/reject it on a field level and when you save the contact into hubspot it also automatically saves notes with user in HubSpot and creates reminders. it flags the promises made, silent deals and gives daily summary.
I'm still developing so please tell me what you think about the idea and how can I improve it if needed ?
I launched on Product Hunt with zero audience — here's what actually happened
Hey everyone!
On Oct 15, I launched The CLEAR Funnel Playbook (a system helping software teams discover and govern hidden AI tools) with literally zero audience. No followers, no email list, no hunter.
Results: #417, 0 points, 2 comments.
Honestly? It was the best thing that could've happened. Here's what I learned:
Preparing for a launch tomorrow
This one started from an argument, not an idea. Casually said something I "knew" was true, got fact-checked on the spot, and it turned out that thing had been disproven years ago.
The early version of this was just a spreadsheet I kept for myself, tracking things I'd learned that had quietly changed since. It didn't feel like a "product" until I picked my own graduation year and had that same "wait, seriously?" reaction about six times in a row. That led me to compile it into a website named sinceyougraduated.online
It's a free, simple website, no signup, no paywall, just pick your year and see what's changed.
p/sinceyougraduated is the forum page and it is open for any type of discussions related to the website.
Would like genuine feedback on how to bring in people into the product's forum and get early traction.
I have ticked the items in the checklist for my first launch and what all are the other things that one may recommend to boost visibility?
And last but not least, as part of the launch preparation, I have made a launch video. It's a bit ridiculous and at the same time amusing.
How do you actually know you're ready for a job interview for a specific role?
I'm building Olly, an AI career copilot, and one problem keeps coming up in conversations with job seekers: most people prepare hard but have no real way to tell if they're ready for the role they're targeting.
Practice questions and mock interviews help, but at the end you're usually left with a vague feeling of "I think I did okay."
I'd love to hear how others handle this:
- How do you judge your own readiness before an interview?
Building Our First App as University Students 🚀
Over the past few months, we ve been working on BetterCause between university classes and late-night coding sessions. The idea came from our own struggle understanding food products for our own diet.
Trying to figure out if a packaged product actually fits your diet or health goals usually means having to understand labels and searching up chemical additive names on your phone.
To fix that, we built an AI food scanner: