Hi Folks! I am the chief scientist and founder of Ve! Building a browser for how people actually use the web now that AI is part of the workflow - not another Chrome fork with a chatbot sidebar bolted on.
Curious how this community feels about the current wave of "AI browsers". Most seem to treat AI as a feature rather than rethinking the browsing model itself. What's actually been useful to you vs. what feels like a gimmick?
We've been heads-down on ve.ai for a while and launch in a couple of days. Happy to share more about the approach if people are interested, and would genuinely love pushback on where we might be wrong! :)
Hey PH!While training my AI tool to detect deepfakes, I noticed that most current generator models leave behind the exact same physiological and pixel-level artifacts.Even "hyper-realistic" videos fail under frame-to-frame consistency checks.I m launching the tool soon to help people verify visual truth, but I'm curious: How worried are you personally about deepfakes impacting your industry or business over the next year? Let's discuss.
I run eight free browser tools as a public build-in-public SEO portfolio. Today I stopped doing homepage-only checks and crawled every sitemap URL across all eight sites.
We built compress.aurorapdf.com because we kept running into the same problem.
Every time we needed to shrink a scanned contract or a heavy report to squeeze it under a 25MB email limit, the only options meant uploading the file to a third-party cloud server. For sensitive work documents, that never felt right to us.
As a retail trader and software engineer, I got tired of the noise in technical analysis. Some people swear by RSI, others rely on EMAs. But when you try to average them, you realise a static average doesn't work because different indicators dominate different market regimes (trending vs cycling).
To solve this, I spent the months building an engine (TickerSignals) that scores 39 indicators across 6 layers daily for 2,500+ stocks. To calibrate the weights, I backtested roughly 2L+ historical signals.
I usually spend my time helping founders turn ideas into real products from figuring out what to build to designing, developing, launching, and improving it.
I'm thrilled to launch LogLogic today, the AI work memory tool I built to finally kill the endless report writing that eats up 5+ hours of every week.
The problem we solve:
We all hate writing daily/weekly/monthly reports. You spend 30 minutes every Friday trying to remember what you actually accomplished that week, typing up bullet points that no one reads. And when quarterly/annual reviews come around, you have to dig through 3 months of emails and Slack messages to piece together your achievements.
I learned an interesting lesson after launching NAMASTRA on Product Hunt.
I shared our launch in 10+ groups and communities, hoping for support from fellow founders and makers. Despite many views and positive reactions, we received only 1 upvote.
