We are live on Product Hunt today with PickTime, and we want to openly discuss a structural flaw built into 99% of today's productivity software.
For years, the gold standard of productivity has been: Write a list, prioritize it, and cross it off. But for minds that struggle with attention deficits, ADHD, or chronic task paralysis, this method is actually counterproductive. A long, stagnant to-do list doesn't motivate it creates a "Black Box of Dread." Your brain looks at a massive task, fails to visualize the exact next step, experiences an immediate dopamine crash, and instantly locks you into freeze mode.
We realized that traditional tools are built for "neurotypical management," not neurodivergent execution.
So, we spent months researching how ADHD and focus deficits impact action, and completely re-engineered PickTime around an AI Execution System to break this cycle:
The other day on LinkedIn, I came across a competitor in my space. The founder proudly wrote in their bio: "Built the tool from idea to launch in just 2 weeks."
QuantGold AI goes live on Product Hunt in about 20 minutes: quantgoldai.com
It's a signal engine built only for XAU/USD (gold) - 5-minute entry/exit signals, no other pairs, no distractions. Instead of leading with marketing claims, I've been running it on a public paper-trading account so the numbers are checkable: +15.3% in 12 days, 54% win rate, updated daily.
Over the past few months, my team and I have been building ObjectStack, and we hit a major realization about AI and software architecture.
80% of enterprise SaaS (like vertical CRMs or PSA tools) is just forms, tables, workflows, and permissions. When we try to let AI agents write raw code for these, they eventually break the logic or create a mess of unmaintainable legacy code.
We took a different approach: Everything is Metadata. By abstracting the entire application layer into structured metadata, the entire context stays extremely lightweight (well under 150k tokens). Now, our AI engine (ObjectOS) doesn't write code; it manipulates the metadata. The result? Instant application generation with strict data isolation and zero runtime syntax errors.
While the launch was quiet, our user base back home wasn't. We recently crossed 40K users in Italy who have been actively pushing our agentic video engine to its limits specifically trying to generate long-form, 2-minute scripted videos.
Watching where they succeed, and where they hit a concrete wall, taught me a lot about the massive gap between generating a cool 5-second clip and creating a cohesive story.
I built Waver to solve a problem I ran into constantly: typing out long notes, emails, and summaries is way slower than just speaking out loud. Standard dictation apps are great for transcribing every single "um" and awkward pause, but they rarely give you something ready to send or review.
Waver takes raw spoken rambles tangents, pauses, and mid-sentence corrections included and cleans them up automatically. From a single voice recording, it creates clean notes, structured emails, summaries, or flashcards.
