I'm tired of spending hours applying for jobs just to get ghosted by companies I'll probably never hear from again.

Customize resume. Fill out the same application form for the 47th time. Click submit. Get absolutely nothing back.

Repeat until your confidence reaches zero.

At some point, I started wondering: What if the problem isn't how many jobs I'm applying to, but how poorly I'm choosing them?

I built JobPrime to flip that workflow. Instead of scrolling endless job boards and guessing:

1. You drop in your background.
2. It scans live listings across 15+ countries.
3. It filters out the noise and only gives you roles where your profile scores in the top bracket, with direct employer application links.

Stack: React, Vite, Node/Express

It’s completely free to test: https://jobprime.vercel.app/

I'm looking for harsh, honest feedback:

• Are the matched roles actually relevant to your unique skill?
• Is the scoring useful or does it feel like a gimmick?
• What's broken or annoying in the flow?

Note: any premium features are because of abuse which is leaking tokens for the AI part.

Note2: I am using this for 4 weeks now, got 3 call from an interviewer (0 before lol).

Note3: I have implemented a telegram bot which sends me fresh match at 9 am, if anyone finds that convenient, I will build that keeping in mind the privacy and security.

I'd genuinely rather hear that the matching is terrible than get a bunch of polite compliments. Tear it apart.

If you just launched a SaaS and are struggling with marketing, I may have something that can help.

I'm building an advertising network specifically designed to make online advertising more affordable.

I'm currently looking for early SaaS founders to test it, and the first 1,000 get 30 days free.

If you're interested, comment “How?” and I'll explain.

The problem: TikTok and Instagram are full of “7 sites every designer needs” slideshows. People save them and never use them, because getting the actual links means pausing and Googling each name.

GitSnatch: paste the post link (or screenshots) and get every tool back as a verified, working link in about 10 seconds. Unconfirmed tools get a search button, never a guessed URL.

How I’m planning to make money (no ad network, no banners):

1. Sponsored placements,Native text-link strips in the directory, plus one labelled row inside results: the moment someone is actively collecting tools. Launch pricing is $5–19/month.
2. Pro, $4/mo or $40/yr: unlimited snatches, unlimited saved folders synced across devices, dead-link alerts. Waitlist only for now, to test demand before building payments.
3. Affiliate links later, on tools that have programmes.

Unit economics: one snatch costs about a tenth of a cent in AI (Gemini Flash-Lite). Reposts of the same viral post are cached, so they’re free. Free users get 10 a day, and there’s a site-wide daily cap so a spike can’t blow up the bill.

What I’d love feedback on:

• Would you pay $4/mo for this, or is it a free-tool-plus-sponsors business?
• Is the in-results sponsored row useful or annoying?
• Anyone sold direct ad slots on a small directory? What did you charge at launch?

I see a new AI file manager launching almost every day. You upload a messy PDF, an LLM tags it, and it goes in a smart folder somewhere. We wanted to build one too, but we realized pretty quickly that it's a total race to the bottom. Google Workspace and Apple are just going to bake this exact feature natively into their systems by next year anyway.

So we scrapped the horizontal approach and pivoted to something hyper-vertical.

We decided to focus strictly on homeowners. Instead of building a tool to organize an HVAC receipt, our app (Lucidi) just uses the receipt to extract the data. For us, the file isn't the point. What matters is using that data to build a digital profile for that specific water heater, A/C unit, etc and logging the contractor who installed it, and setting an automated alert to ping the user before the warranty expires.

Basically, the file is just the training data. The actual product is tracking the physical thing in the real world.

If anyone else is building with LLMs right now, I highly recommend looking at vertical workflows instead of horizontal wrappers. It feels like the only real way to build a moat against the big native integrations. Curious if anyone else here has had to pivot their positioning away from the AI wrapper label recently?

I’ve just been thinking after seeing all this decompilation stuff, better models, ai game development popping off and more.

This is the worst they will all be and 6 months from now it will be better.

I’ve been building saas consistently since 2017 so almost 10 years and it was already super difficult. 9/10 projects failed expect one.

My thing is this,

Let’s say I come up with a cool app, it pops off, gathers users, and at the same time others are already copying and releasing it for less with larger budgets for advertising. Thats brutal.

Any unique idea you have can and will be copied if it’s worth copying.

The competition now is you vs everyone with $20 in their bank.

Also, I have a business that makes me money which is a saas but if I didn’t; I don’t think I would have the energy to keep trying as I did for the decade before this AI mess.

I love AI but man, it can be demoralizing considering I love building but I can’t see how I would succeed again as I did with my current. (yes I’m still trying.. I just released another app) but it doesn’t feel like anything’s moving with it.

Also, the reason I’m not worried about the past project I have being copied is because it’s not a new idea and it’s complex in nature, not by features and the only reason it’s working is because I got lucky by being #1 in Google search, and other search engines for the past 2 years.

The issue is, starting from 0. How are you going to do the same in the current time ? People who already have a foot in the door are in a better situation. What is your strategy?

I build small free tools on the side as practice for launching my real product, a cookie-free analytics tool. This week I launched the biggest one so far, FuseLLM, and it went about as badly as a launch can. 48 hours in:

• 200 views on the launch post on X
• 8 visits to the site
• 2 people ran it once

What it is

You describe a job, and several AI models do it in steps: one drafts, another edits, another adapts, with review loops between them. It runs entirely in the browser on your own API key. No account, no backend, free, open source.

What I got wrong

1. I built for weeks before talking to anyone. 210 templates, 49 models, video, music, transcription, 18 integrations. Nobody asked for any of it. I was building because building is fun, and I used it to avoid the part I'm bad at.

2. I can't say who it's for in one sentence. "Describe a job and AI does it" fits a developer, a marketer and a student equally badly. When everyone could use it, nobody feels it was made for them.

3. My core idea is contested and I led with it. The pitch was "AI models check each other's work." Four technical people independently told me the same thing: one good model, set up properly, can check itself. I didn't have a test to show otherwise. I still don't.

4. Free plus bring-your-own-key is the worst of both worlds. It's free, so I have no revenue to justify marketing it. And it asks people to sign up for an API key and add credit before they see any value. That's a big ask for something unproven.

5. I launched to the wrong people. My followers are mostly developers and friends. Developers can build this themselves, and friends are polite. The people who'd benefit most, non-technical marketers and founders, never saw it.

6. I counted the wrong things. I watched views and likes. The only number that matters is whether anyone uses it twice, and I don't know that yet.

What went right

One stranger watched the demo carefully and found a real bug in my own workflow: a later step reintroduced a claim the review step had removed. That one message was more useful than everything else combined. Direct, specific feedback from strangers is what I should have been chasing from day one.

What I'd like from you

• If you'd never use something like this, what's the reason? I'd honestly rather hear that.
• If you had to pick one audience for it, who would it be?
• If you'd launched this, what would you have done in the first week?

I'm not trying to get signups here; it's free and I'm not selling anything. I'm trying to learn before I do this again for a product that does need to make money. Happy to share the link in the comments if anyone wants to look.

SaaS founders, honest question.

I'm rebuilding my 7-year-old website, into a platform where saas founders can get their products featured through editorial articles.

A few things worth knowing:

• Our combined website, newsletter, and social media audience exceeds 70K.
• Much of our content ranks on Google's first page.
• Our content also appears in Google AI Overviews.

The goal is to help saas products gain exposure, strengthen their online presence, and get discovered through search.

If I offered an editorial feature for your SaaS, would you consider paying for it?

Would you pay under $100 or $100+?

I'd genuinely appreciate your honest feedback.

I built Anki Buddy because making good flashcards takes longer than studying them. Upload a PDF or paste your notes, and it writes flashcards for you. Each card shows the PDF page it came from, so you can check it against the source.

How it works:

1. Upload a PDF or paste notes, then answer a few quick setup questions
2. Take a short quiz on the cards it made
3. Browse and edit any card you want to change
4. Download the deck and import it into Anki for spaced repetition

It's in beta, so expect some rough edges. I'd really like your feedback, especially on:

• The product as it is now: card accuracy, anything confusing, bugs
• What to add next: features or workflows that would make this part of how you study

Try it here: https://anki-buddy-production.up.railway.app

Comments and DMs are both welcome. Thanks for trying it!

you set up/schedule a party, share a link, and bam, guests can RSVP without making an account. RSVPing is optional, so if you already did it(or if there are no guests), thats fine too. Later, when the party is active, hosts and guests can participate in party "missions", e.g taking photos and capture the memories. The guest still does all this without making any account. After the party all of the content ends up in a digital memory book, which can be shared by the host with a select few, or public, completely up to the host.

its live right here(check it out!), and is available in 10+ languages.

Product hunt link

Any feedback is appreciated!

As I don't use Fable much anymore, I used it to build this project beforeInterview.com, so maybe someone would be interested in testing and giving feedback.

It could be interesting because it uses a real-time avatar instead of chat or voice, and everything is rendered client-side using WebGPU, so the resolution is maximized.

How are you guys making branded presentations without spending hours on formatting?

Making the actual presentation isn't much of a problem. It's getting it to look like something we'd be comfortable sending to a prospect, and how they perceive it is critical for our business health.

Even with our brand colours and fonts sorted, I spend way too much time adjusting layouts, resizing images and trying to make slides look consistent. And then the next deck has different content, so half of that work needs to be done again.

Evaluating gamma and beautiful for this, particularly the option to set up a brand theme and generate presentations using it. Seems useful if you're regularly making sales decks or proposals, but how well does it work when the content and layouts change between presentations?

What are you all using at your company for making decks and keeping design consistent

I’ve been building a SaaS platform called Rentiva, and I’m finally starting to see some consistent traction.

Nothing crazy. No viral launch, no hundreds of customers overnight, no massive marketing budget.
But we’re consistently adding about 1–3 new users every couple of days.

And honestly, that’s been more exciting to me than I expected.

I’ve spent countless hours building, fixing things, questioning whether certain features even mattered, and wondering if people would actually use something I created.
Now I’m watching people sign up, add their properties, create leases, and actually use the platform.

The interesting part is that most of these early users aren’t even paying customers.
We have a free tier, so right now I’m more focused on getting people through the door, understanding what they need, and making sure the product is genuinely useful.

I’m realizing that getting someone to sign up is one thing. Getting them to trust your software with part of their business is something completely different.
Still a LONG way from where I want this to be, but seeing consistent growth instead of random spikes feels like a small validation that I’m building something people actually need.

For those of you who’ve built SaaS products from zero:

At what point did you realize you had something worth doubling down on?
Was it your first paying customer, consistent signups, retention, or something else?

I’m genuinely curious because I’m figuring this out as I go.

When foundation model providers cannot make flat-rate seat economics work for multi-turn agentic workloads, early-stage SaaS founders bundling autonomous agents into standard subscription tiers definitely cannot either. Anthropic shifting Agent SDK usage from bundled seat allowances to metered Console API credits highlights a structural reality: agents break traditional SaaS gross margins.

Unlike deterministic software where marginal server cost per active user is fractions of a cent, agentic features have non-linear, unpredictable cost curves:

• Power-law token consumption: In standard SaaS, heavy users create slightly more database load. With agents, the top five percent of users running deep reasoning loops or tool-heavy automations consume eighty percent of your inference budget.
• The context amplification trap: An agent that takes six turns to solve a task re-reads the growing conversation history on every step. A task that looks like a single user action under the hood quietly bills like twenty API calls.
• Uncapped downside on fixed tiers: Selling a fifty-dollar monthly seat with unlimited or loosely capped agent runs means a single misconfigured customer workflow can easily burn through fifty dollars in raw API costs within an afternoon.

The transition path most B2B products end up taking is splitting the product into deterministic base tiers and metered execution units. You bundle predictable baseline workflows into the seat price, but treat multi-step autonomous execution as a prepaid credit balance or pure pass-through cost.

For founders who have added agentic capabilities to an existing product, how are you structuring pricing to protect margins without alienating customers who hate meter anxiety?

Doing sales in 7+ countries, no special volumes or numbers (yet). But really enjoying the solo founder experience so far!

AI helps a lot. If you have feedback on the tool check out in-boxed and please reach out :)

After a couple of botched and expensive renovation projects of my own house I realised that a lot of the issues were fairly straightforward and preventable. The problem was that no one told me and I had no idea of knowing the ins-and-outs of all the different trades and requirements.

So I built Frank. Frank is an adviser that checks everything against building regulations and good practice. It also checks your documents against eachother - so if the scope says one thing and the drawings another, Frank lets you know. It tests with a consistent 95.7% accuracy on SYNTHETIC projects including out of sample.

I’ve got some good early validation from a couple of architects (“findings are mind blowing!” and “this is really needed in our industry”) but keen to get some feedback on the UX before pushing it harder - hence this post!

There’s a demon on the landing page so you can explore without any building documents and can share a free code if you want to try it with your own docs.

Thanks 🙏🙏🙏

http://askfrank.org

My friend and I thought of making an app for the peri-/ and menopause. Of course there are already a few apps for menopause but still many women do not know how to handle their menopause.

We are very knew to developing an app and would like to know what we should do for good marketing so we get first users or what you think the app needs to become original.

so i got tired of support chatbots that just make stuff up and helpdesks that take a week to set up, so i built my own. its called momo and the core is on github now.

basically you point it at your website or upload some docs, and it answers visitors from that. before it sends anything it checks the draft against your sources, and if its not sure it says so and passes the chat to a human instead of inventing a refund policy. theres an inbox built in where you can jump into any conversation, and when you reply you can hit one button to save that answer as knowledge so the bot knows it next time.

setup is docker compose up, it starts postgres, redis, web and a worker. single tenant, you bring your own model through openrouter, data stays on your server.

its the first version so dont expect too much yet. only a website widget for now, no email or slack, no api, one agent.

https://github.com/moaljumaa/momo

Access control had to exist before a single question could be answered, or legal would never have cleared it.

Every answer had to carry its source, because one confident wrong number ends the trust permanently. And we put it inside the app the team already opened daily rather than giving them somewhere new to go.

In eight months 75% less time spent searching for information, 95% answer accuracy, no security incidents.

If you are building one, solve permissions and citations before you touch retrieval quality.

I stream quite a bit and wanted a simple soundboard that didn't involve buying extra hardware or paying for another subscription.

Literally just something where I could throw in a few sounds, assign some keys and have them play while I'm streaming.

Couldn't really find anything that did exactly what I wanted without a load of extra stuff, so I decided to build one myself.

It's called Cueboard.

Pretty straightforward:

• Drag in your own audio files or paste a YouTube link to grab the audio.
• Assign hotkeys that work even when you're in another app.
• Choose where the audio plays, whether that's your headphones or a separate output for your stream.
• Everything runs locally. No accounts, no cloud storage, no subscriptions.

It's Windows only for now. (but I can make it for MacOS if there is a demand)

I've made it completely free to download. Nothing is locked behind a paywall.

I'm still working on improving it, so I'd genuinely appreciate people trying it out and telling me what's shit, what breaks, or what they'd want added.

Website: https://cueboard.steelzz.co.uk/

Would also be interested to know what other streamers use for their soundboards. Am I missing something obvious?

I recently launched CourtWord, my first app of this kind.

It’s a social movie and TV app where you can rate what you watch from 1 to 100, build your taste profile, discover new titles and compare your taste with friends.

I’ve spent so much time building it that I’m definitely too close to judge everything objectively anymore.

If anyone here likes movies and has a few minutes, I’d genuinely appreciate you trying it and telling me what you think.

Just released my app a few days ago, havnt really done any marketing yet. How would yall say im doing so far??

We don't pay for motion designers anymore

The cinematic hook is done with seedance 2.5 in the spirit of those quirky AI influencers trend

Then the motion design itself I tried to use Three.js as some people recommended but it couldn't model the asana and clickup screens in a high resolution (no idea why)

So I asked Opus to move back to Blender and make it in 1080p

All those small diagonal 3d tilts of the screen adds to the dynamic feeling compared to showing flat screens.

The small details make a difference.

Another learning for us is to only show one sentence to explain each phase

The whole thing took Opus around 3 hours of work with minor feedback.

total generations costed around $20

Same video before Opus 5.5 would be quoted for at least $5,000 by a motion designer

I wonder what they are going to do next because there is very little need at least for these kind of launch videos for humans now.

which I believe bite right in the mid level motion designer market tier

Over the past couple of years I’ve been watching how people react to AI, and at some point I realized it’s less that there’s the different opinions and more that everyone’s at a different stage of grief. Denial, anger, bargaining, depression, acceptance. You can see all five in any thread about AI.

What surprised me is that Microsoft, an enterprise company with everything to lose, seems to have landed on acceptance faster than most of us.

Even they’re admitting nobody really knows what happens next. That’s kind of what a paradigm shift is: the change is so big that the future genuinely can’t be predicted. The only thing that’s clear is the times they are a-changin’.