Here s a fictional family: one salary, three people, and 18 days of accessible savings. They also have insurance but that doesn t automatically mean the family is properly protected.
I m building MoneyMap to answer one question before showing charts: what could hurt this household first, who would feel it, and which number caused that answer?
The worked example needs no account. Could you look at it for five seconds and tell me what you think this family should fix first? If the answer is not obvious, I want to know.
I recently saw someone with 10k+ followers launch and still finish 6th. That hit different.
Now I'm launching Torziva on March 8th.
I built an AI virtual try-on tool for online fashion stores customers upload their photo and instantly see how clothes look on them. Fewer returns, more confident buyers.
I'm not a marketer. No big following. Just a solo founder who believes this solves a real problem.
What I've done so far:
Built Torziva from scratch solo
Set up Coming Soon page on Product Hunt
Started sharing in communities for early feedback
What I'm nervous about:
No big audience or marketing budget
First time launching anything publicly
Don't know if the right people will show up
If you've launched before, I'd love to know:
Did you reach out to strangers or only your network?
How did you get your first real user after PH launch?
Something I've been thinking about while building in the small-batch production space (bakeries, candle and soap makers, caterers): almost every tool in this category, including most of what I looked at before building my own, treats "inventory" and "capacity" as the same problem. They're not.
Knowing you have 60 eggs, 8kg of flour, and 1.5kg of butter is an inventory fact. Knowing that translates to 15 cakes, not the 25 a customer just asked for, and that butter is the actual constraint, not flour, is a capacity fact. Most small producers are doing that second translation in their head, every single order, and it's the part that actually determines whether they can say yes.
I ended up building Makeable to handle that translation specifically, rather than trying to be a full inventory or accounting system, because I kept seeing people abandon heavier tools the moment they had to maintain a chart of accounts just to answer a yes/no question (usemakeable.com, for anyone curious what it looks like in practice).
Curious how others here think about this distinction in other domains. Do you see the same "we track the data but not the decision" gap outside of physical production? I'd guess it shows up in capacity planning for services and even dev team throughput, not just materials.
Something that's been driving me crazy lately is how every "productivity tool" for founders requires creating an account, connecting 5 integrations, and learning a new workflow before you get any actual value. So I built the opposite.
It's a single-page dashboard that tracks your weekly goals, daily focus blocks, and a simple energy log. No signup, no database, everything saves to your browser. The whole point is you open the page, type your goals for the week, and close it. That's the entire flow. The tool gets out of your way instead of becoming another thing you need to manage.
I m Robin, building EvidenceFlow: a workspace intended to connect systematic-review planning, multi-reviewer screening, data extraction, PRISMA reporting, and meta-analysis.
The problem I am trying to solve is not that researchers lack tools. It is that a typical review often involves several tools and spreadsheets, with manual handoffs between them.
I would value direct feedback from anyone who has built or used complex workflow software:
Which step should remain specialized rather than being pulled into an all-in-one platform?
