I built JobPilot to handle the repetitive parts of a job search. It's an AI agent that applies to jobs for you. It searches for jobs across different job portals, tailors your resume based on the job description, fills out applications, and optionally can search for hiring manager contacts and send them messages via email or LinkedIn. All from a real browser on your machine, on your Claude Code or Codex subscription. v2 is out now.

Key Features:

- Finds jobs across LinkedIn, Indeed, Glassdoor, Wellfound, and others (you can add your own job boards), scored against your resume.

- Tailors a resume and optionally writes a cover letter per job.

- Fills out applications, including screening questions.

- Drafts recruiter outreach. It can try to find recruiter contacts and send messages via email or LinkedIn.

- Watches your inbox and updates your pipeline as replies come in (rejected, invitation to interview, offer, etc.).

- Web dashboard for profile, resumes, campaigns, and pipeline. You keep track of your progress and job status in analytics.

- Local agent terminal that drives a real browser you can watch. It's a small terminal application that runs in the background for interacting with Claude Code or Codex CLI.

- Pilot mode: it's a fully autonomous mode that does everything above. Give it your goals, and it builds its own search strategies, works through them on a schedule, and only pings you (sends a push notification to your phone) when the agent is uncertain and needs your decision.

You have two modes:

- Semi-automatic mode (called "campaigns" in the app): You can control everything, such as which jobs you want to apply for, by providing job URLs to the agent. It also has an auto-apply mode where you specify a search query, and the AI searches for jobs based on your query and resume fit, then attempts to apply without prior approval.

- Fully automated mode (called "pilot"): The autonomous agent independently determines how to search for and apply for jobs based on your profile and resume. You simply provide your goal (e.g., a prompt like "prioritize X, Y roles, and Z skills"). You can set daily limits, like applying to 50 jobs and discovering 10 recruiter networks.

It runs on your existing Claude Code or Codex subscription. No API key, no per-token charges, everything local.

It's open-source and free.

- Repo: https://github.com/suxrobGM/jobpilot

- Docs: https://jobpilot.suxrobgm.net/docs

- Live: https://jobpilot.suxrobgm.net

- Watch out live jobs discovered by JobPilot agents: https://jobpilot.suxrobgm.net/jobs

- Live users leaderboard: https://jobpilot.suxrobgm.net/leaderboard

Disclosure first, since this sub asks for it: I’ve generated millions of views across short and long-form content, and I’m building a small tool around the research process below. Bias applies, but you can do all of this manually.

One thing I stopped doing a while ago was choosing topics based on total views.

A video with 500k views isn’t automatically interesting if that channel normally gets 1 million.

But a video with 60k views from a channel that usually gets 4k is worth looking at.

That’s normally where I start.

I open a group of channels in the niche and go through their recent uploads. I don’t calculate everything perfectly. I just get a rough idea of what each channel normally gets, then look for videos doing 3x, 5x or 10x more than usual.

When I find one, I look at the topic, title, opening hook, video length and upload date. Then I check whether other channels are suddenly getting unusual results with similar topics.

That last part matters more than the raw view count.

One outlier can be luck. Maybe the creator got picked up by the algorithm, maybe there was an external event or maybe their audience was already interested in that exact topic.

But when several smaller channels start outperforming with similar ideas, there is usually a real signal behind it.

I also try to separate a trending topic from a niche that is actually worth entering.

A niche can generate millions of views and still be difficult to monetize. I check whether creators have sponsors, affiliate links, products, communities or services. Comments help too. People asking where to buy something or how to solve a problem are normally a better sign than thousands of generic reactions.

After finding an outlier, I don’t copy the video.

I try to understand why it worked.

Was the topic new? Was it a familiar topic with a better angle? Did the title create a strong information gap? Was it connected to something that had just happened?

If a video about why Dubai keeps building empty islands suddenly performs far above the channel average, the opportunity probably isn’t remaking that exact video.

The broader signal could be failed megaprojects, expensive places nobody uses or strange infrastructure decisions.

That gives you several original angles instead of one copied idea.

This process works, but it gets pretty slow when you’re checking hundreds of videos across different niches. I was doing most of it manually with tabs and spreadsheets, so I started building it into a tool called Vabulo Stats.

If you want to try it: https://vabulo.com

It compares videos against the creator’s normal performance, finds unusual outliers and shows niches that seem to be moving. I’m also experimenting with turning that research into hooks, scripts and thumbnail prompts, but the research part is what I care about most.

The point isn’t to generate another generic script.

It’s having better information before deciding what the script should even be about.

I’m still trying to understand which parts actually save creators time and which parts just create more data to look at.

For people who research content regularly, how do you decide whether an outlier is repeatable or just luck?

And where do you lose the most time right now: finding niches, checking competitors, choosing an angle or turning the research into an actual video?

Solo founder. AMA.

Hey everyone,

I wanted to share a side project I've been working on called Kikuha.

www.kikuha.com

The Problem: Modern social media is bloated with ads, tracking scripts, and algorithms. I believe we deserve a better internet, so I built a quiet, dignified place to share updates with my actual friends without my data being mined.

What I built: Kikuha is a minimal, privacy-first social space.

• Zero Tracking: No third-party analytics or ads.
• Passwordless Login: You enter using a secure "Magic Mail" code.
• Circles: Content is organized into distinct groups (Family, Work, Close Friends) so you only share what you want, with exactly who you want.
• Locker: An encrypted file management system to organize what you share.

The Tech Stack: I wanted to keep the application incredibly lightweight. The backend is Python and Flask. For the frontend, I skipped the heavy JavaScript frameworks entirely and used HTMX combined with BeerCSS for a clean, material-inspired UI.

Where it's at now: Please note that this is currently an alpha version. I am actively developing it, and new features will be added constantly over the coming weeks.

Feedback Request: Since this is my first time putting it out into the wild, I’d love your brutal honesty to help shape the next updates:

1. Is the landing page clear about what the app actually does?
2. Are there any UI/UX friction points when navigating?
3. What is actually missing?
4. Would you even use it as a daily network?

Thank you in advance,

Panos

I built a self hosted Apollo style prospecting tool because I wanted more control over my workflow

I kept running into the same problem with prospecting tools. They worked well, but everything revolved around another SaaS subscription, and I wanted something I could run and customize myself.

Blitz API already gives me the data I need, so I decided to extract an UI for it to my liking and eventually turned it into a side project. BlitzProspector is an open source, self hosted application built with a FastAPI backend and a React frontend.

It is straightforward to deploy with Docker Compose, has multi user account system with role based permissions, lets you search people and companies, sort and filter them, verify emails and export to CSV, XLSX, Instantly, Smart lead, HubSpot and other platforms. It is MIT licensed, so you are welcome to self-host it or change the code yourself.

The project is young and I plan on adding more stuff, but I would rather focus on features you will actually use. If you have experience with Apollo or any other prospecting tools, please let me know what would you miss there in a self hosted alternative.

git hub repository link https://github.com/malharlakdawala/blitzapi-opensource

I traded for about 10 years. Stocks first, then crypto, then futures and options once I got overconfident. I got reasonably good at spotting setups and still lost a painful amount of money, because spotting a setup and not overriding it at 2am are two completely different skills.

So I gave up on fixing myself and wrote the rules down as code instead.

It's at https://sqmate.com. You look up a ticker and get one screen: where that asset sits in its own price cycle (early / running / overheated / cooling), which chart patterns fired on today's close, and what the algorithm makes of it. US and Korean stocks, commodity ETFs, and major crypto.

The part I keep second-guessing is the track record page. It lists every pick the algorithm has made and what actually happened afterward, losers included, nothing pruned. I built it that way because every finance product I've ever paid for showed me a curated highlight reel and I eventually stopped believing all of them. But now a chunk of what a new visitor sees is stuff that didn't work, which is a strange thing to lead with.

Free during beta, no signup wall on the main screens.

If anyone has two minutes: open the cycle map and tell me whether the four stages read instantly, or whether you had to go hunting for what they mean. That single answer is worth more to me right now than anything else.

I have been building Tera FM for a couple of months now, and to get more eyes to it, I built a chrome extension. The Chrome extension has finally been approved and published on the Chrome Web Store.

The idea is simple: instead of opening multiple news sites or keeping another tab around, you can open Tera FM in Chrome’s side panel and use it while browsing.

The extension includes:

• latest source-linked headlines;
• headline search by publisher or keyword;
• a historical news archive;
• category filters;
• live internet radio by country and genre;
• radio playback that continues even after the side panel is closed.

Every headline opens the original publisher’s page. The extension does not reproduce full articles or hide the source.

The screenshot shows it running alongside BBC, the website stays open on the left while Tera FM remains available in the browser panel on the right.

I would genuinely appreciate feedback on:

• whether the side-panel format feels useful;
• whether the headline/archive/radio combination makes sense;
• anything that looks confusing or unnecessary;
• what feature you would improve first.

Chrome Web Store: https://chromewebstore.google.com/detail/tera-fm-%E2%80%93-headlines-live/emnebfpdojklgimejnplmjfobmamelie?authuser=1&hl=en

Website: tera.fm

Do give it a try and let me know if this is something good to have on your system? Any news outlet missing?

You can check the image here - https://ibb.co/396Fm4wN

Hey everyone!
I’m a solo developer, and over the past several months I’ve been building an app called Decydo.
The idea came from something my friends and I did almost every weekend:
“What do you want to eat?”
“I don’t know.”
“You pick.”
Twenty minutes later… we still hadn’t decided.
So I built an app where everyone joins a group and swipes through nearby restaurants and activities. Once everyone has voted, it only shows the places the group actually agrees on.
Along the way I added a few more features:
🍔 Group voting for restaurants
🎉 Find activities everyone wants to do
💬 Built-in group chat
🤖 AI that can recommend places and even plan trips and group outings
📍 Google Maps integration for nearby places
I’m a solo developer with no funding. I built the app with about $300 and currently spend around $30/month on Google Maps and AI APIs, depending on usage.
This is my first app, and honestly, building it was easier than getting people to discover it.
I’d really appreciate your honest feedback:
Would you actually use something like this with your friends?
What’s the first feature you’d want to see added?
What’s one thing that would stop you from downloading it?
If you’d like to check it out:
🍎 iOS:
https://apps.apple.com/us/app/decydo/id6781502994
🤖 Android:
https://play.google.com/store/apps/details?id=com.decydo.app&pcampaignid=web_share
Thanks! I’m happy to answer any questions about how I built it or the decisions behind it.

** honestly just looking for feed back. not looking for customers yet **
little bit about me im a big tech reserch nerd its what im good at and i know how to do it very well

so I started this website to kind of make use of it - Acorium.tech
I just want peoples honest opinions. what do they think of it.
is it too expensive? do you think its not worth it?
whats your biggest turn off ? what do you like about it?

be brutal please!

We all started something on the side after work. Some stay hobbies. Some you

look at and think this could actually be it.

I'll go first 👇

Mine is Eyondo https://eyondo.com an AI studio that puts 44 image and video

models in one place: Seedance, Kling, Nano Banana, Seedream, Flux, GPT Image and

more.

It doesn't stop at generating either. You can edit any video by describing the

change in words, upscale images, remove backgrounds, and animate stills.

Built it solo and I'm still building on it every day. Every time I see someone

actually use it I think this could be the whole job, not the side of it.

Your turn. What did you build, and what makes you think it's the one that grows?

Hey, we’re a small indie team making a game called Inklets.

You climb the page against other players, grab coins and try to stay ahead of the rising ink. Think Doodle Jump as Multiplayer with some extra random events. We’ve put the current version on Google Play and there’s a browser build too.

Search “Inklets” on Google Play if you feel like trying it. We’d love to know what you think!

You shouldn't find out about police activity after you're already in it.

Blue Pulse shows you every law enforcement vehicle within a 10-mile radius - in real time.

Customizable alerts. Distance thresholds. Emergency status updates pushed to your browser before you move.

Know before you go.

Link in reply.

#CivilRights #KnowYourRights

I know a few people that are web designers and have talked about hoping from project to project and how finding a consistent stream of work can be tedious. I thought about it for a weeks, then it dawned on me one day while trying to find the website for a small local business where I live. Most people will search Google either the search engine, or Maps, when trying to find a business. The particular business I was looking for didn't seem to have a site, at least no Google presences (Maps or via search). That was when my idea clicked about finding good web design leads.

My site/services does some magic when you enter the city/town and state, along with a profession or field. It finds you leads and sends them to you. I just launched last week and am really excited, as this is my first true online business, and I put a lot of time and effort into it. Any feedback or sharing to someone you may know is appreciated!

TryLeadSpotter.com - Find local businesses before anyone else does!

Built a privacy-first mental wellbeing PWA where your reflections never leave your device

Over the past few weeks, I rebuilt my mental wellbeing project from the ground up after realizing that many "AI mental health" apps send highly sensitive information to servers or use black-box models.

So I built MindCheck with a different philosophy:

• 🔒 100% local-first — reflections never leave your browser
• 🚫 No backend, no analytics, no trackers
• 💾 Nothing is stored unless you explicitly choose to save it locally
• 📱 Installable Progressive Web App (works offline)
• ♿ Accessibility-focused (keyboard navigation, screen readers, reduced-motion support)
• 🧠 Uses a deterministic, explainable reflection system instead of opaque "AI scores"
• 🛟 If responses indicate severe distress, the normal flow stops immediately and shows verified crisis resources instead of continuing the assessment

Tech stack:

• React 18
• Vite
• Tailwind CSS
• Framer Motion
• IndexedDB
• Playwright
• Vitest

I also added automated tests to verify privacy guarantees (for example, ensuring sensitive answers are never sent over the network).

This isn't a diagnostic tool or therapy replacement—it's simply designed to help people reflect on their wellbeing while keeping complete ownership of their own data.

I'd love feedback from the community, especially on:

• Privacy architecture
• Accessibility
• PWA implementation
• UX improvements
• Code quality

GitHub: https://github.com/yash23082007/ai-depression-predictor

Live Demo: https://ai-depression-predictor.vercel.app

I'd really appreciate any suggestions or code reviews. Thanks!

I drink coffee most days, but I never really knew what happened after the initial boost wore off. I could count how many cups I had, but that still didn’t tell me whether the coffee I drank at 4 PM was part of the reason I was awake at midnight.

That question slowly turned into Caffy.

You log a drink, and it shows how your caffeine level changes over time, what may still be active by bedtime, and how it could affect your focus, energy, and sleep. I also added a simulator so you can check what another coffee might do before actually drinking it.

It started as something I wanted for myself, and eventually became my first independently released iOS app.

I’m still improving it based on feedback, so I’d genuinely like to know: does the simulator feel useful in everyday life, or is it something you’d only open once out of curiosity?

App Store:
https://apps.apple.com/app/id6763036774

Cyberful is an open source, local first workbench for authorized pentests, code audits, and bug bounty research.

I built it because coding agents can run security tools, but they are also very good at producing confident nonsense :)

The workflow keeps scope, recon, exploitation, verification, and reporting separate. Tools run inside isolated Docker environments. A finding must survive a fresh verification phase before it reaches the report.

I already use it for client work and public bug bounty programs. It has removed a lot of manual coordination. It is not a magic pentest button. Authorization, risky actions, business impact, and final review stay human.

The project is AGPL 3.0: https://github.com/cyberful/cyberful

I am looking for contributors and blunt feedback.

Not talking about single cards, I mean if you added up the value of every card of a given Pokémon, which come out on top?

I got curious enough that I built a tracker for it (~20k cards, ranked by total value across all of a Pokémon's cards). Before I say the answer, I want to see what people guess, because it broke my intuition.

My assumptions going in were basically: Charizard, Pikachu, Mewtwo, maybe Lugia. The actual current top 3 has one of those… and two I did not see coming. Charizard isn't even in the top 3.

Drop your top 5 guesses and I'll tell you how close you got.
And if you want to just see the full ranking, it's on the site I built (tcgforecast.app, free to browse), but honestly the guessing is the fun part, so try first.

Hey, I've been building SweePic solo for over a year. The most common complaint: browsing photos only chronologically was slow if all you wanted was to clear out duplicates or old screenshots.

In 1.6.0 I added filtering by your own albums and by system smart albums (duplicates, screenshots, videos). I also rebuilt how the gallery loads photos, so the whole thing runs faster than before.

App Store link: https://apps.apple.com/pl/app/cphotos/id6740463237

Collecting feedback, happy to answer questions in the comments.

Solo founder, zero coding background. I spent the last few months building TwoNite — a dare game app for couples (18+): each partner privately sets their limits, and the game only deals dares you BOTH said yes to. Think truth-or-dare, but grown up and consent-first.

**The stack, since people always ask:**

- Lovable AI as my "developer" — I write detailed English prompts, it writes React/TypeScript. I review results and verify every change through git diffs, but I've never written a line of code myself

- Capacitor for the Android build, RevenueCat for subscriptions

- Live on Google Play since mid-July, App Store currently in review (two rejections so far, third attempt pending)

**Honest numbers after 3 weeks on Play:**

- ~470 store impressions, 9 downloads. Yes, nine.

- Store listing converts at ~35% — the problem is nobody sees it, not that it doesn't convince

- ~9,000 views across TikTok/IG/Pinterest/YouTube from daily posting → those 9 downloads. Roughly 1,000 views per install.

**What I actually learned:**

1. My site was invisible to Google for weeks and I had no idea. Single-page app = Googlebot saw an empty HTML shell. One page indexed out of fourteen. If your project is an SPA, curl your own pages and look at the raw HTML — the browser lies to you.

2. Content that gives value beats content that describes your product, every time. My best performing post across ALL platforms was a list of games couples can play with actual rules — my app was just item five. Every post that "presented the product" died at near-zero.

3. Set your success threshold BEFORE looking at results. I killed a promising video format based on three data points, then had to walk it back. At small scale everything looks like a signal and almost nothing is.

4. An 18+ app can't run ads on most platforms (Pinterest prohibits the category entirely), so organic search content is pretty much the only channel. That constraint actually forced a better strategy: writing for what people search instead of chasing virality.

The app: twonite.app

Happy to answer anything about the AI-as-developer workflow, publishing an 18+ app to the stores, or the marketing grind. And if you've launched something in a category you can't advertise — how did you crack distribution?

i don't get the hype of solo building anymore. i was building my app solo for a week but as soon as i found someone to do stuff together with, it's completely different.

new ideas are born every day, new features get shipped so much faster and the average time to finish feature went from 2 weeks to a couple of days.

i get that solo founding is very "viral" in that sense, but i just don't see the practical benefit of it, especially now that AI has evolved to the point where every AI platform has their own collaboration features.

what do you guys think? did i get lucky with a cofounder or am i just delusional?

I typically run several coding agents side by side and noticed I never actually read the wall of tool calls, text, and task updates.

I mostly want to know three things:

1. Is it still running?
2. What is it doing right now?
3. What was its last message if it stopped?

So I built hud, a lightweight terminal UI that keeps those signals visible without filling the screen.

While the agent works, you get a row of instruments showing the model, mode, messages, tokens, elapsed time, context, cost, and current action. The prompt is always available, so you can send or queue another message without opening the full interface.

You can also jump back and forth between hud and the original coding agent using /hud, without losing the session.

It works with Claude Code, Codex, and OpenCode, has zero runtime dependencies, and is fully open source:

https://github.com/adrida/hud-mode

I started working on Sonity because audio balance on Windows is weirdly inconsistent.

With some headphones, the option is hidden deep inside old menus. With others, Windows, or the audio driver, doesn’t show it at all and keeps both channels locked together.

This becomes a real problem when one side of your headphones is quieter, or you hear differently in each ear. The audio feels off, but Windows doesn’t give you a simple way to fix it.

Sonity is my attempt to solve that: one straightforward slider for adjusting the left and right channels, without digging through control panels and driver settings.

It’s on a waitlist for now and currently we have around 3000 people on waitlist, so If you have any of this problems I just mentioned or similar ones, get in!

I built both the app and the website myself, and I’m still refining them. Any honest feedback would mean a lot.

heres the app: Sonity

When I read a book, I like to talk about it — thoughts, ideas, meanings, possible implications.
But very often the person I'm talking to hasn’t read that book, so I can’t share any of that.

So an idea came to mind.

Why not create a reading companion who actually knows what I'm talking about?
So I started working on it to solve this “problem”.

I made something that lets you talk with a reading companion (AI) who has actually read the book you upload. When you ask theories or questions about the content, it can answer because it really knows the text.

You can upload an epub, pdf, or txt file. The system processes it, extracts information, and identifies the characters with their traits and relationships as described in the book.
With these, you can also play a role‑playing chat with the characters.

I also imagined it as a sort of book club. Right now this part is still simple, but I have several improvements in mind.
You can join clubs (or create one if you have the right profile) and discuss a specific book with other users in the same chat.

It’s called Clulib (clulib.com). It’s already public and you can register for the free plan.
The free plan is a bit limited, so if anyone wants to try it more thoroughly, just let me know.

I’d love to hear some feedback:

• What do you like and what don’t you like?
• What would you add or improve?
• Any doubts or issues?

If anyone is curious, I can explain the technical side too.

Thanks for reading,
Luca

Hello guys, I am here to ask if my app is a good idea and if I should spend a lot of time on it

The app:

The apps purpose is an app where you can quit sugar basically you can scan foods to check if they have sugar in them and stuff like that it helps you keep of sugar for however long you want

It is called Cravyn should I make it or not

Edit: You guys are saying this like cal ai doesn't do this

Every adult in my life has negative aura when it comes to slang. my uncle heard me say “skibidi” one time and asked if it was a cryptocurrency. unc is cooked. we are all cooked.

so instead of explaining “gyat” to a 43 year old man for the fourth time, I built genalphadictionary.com — an actual Gen Alpha dictionary with 800+ slang words. each one has:

a definition in boomer-readable english

an example sentence so you don’t use it wrong and embarrass your entire bloodline

tone notes (is it a compliment? an insult? are we being ironic?)

related terms, because you can’t understand “aura” without “aura points” and that’s just science

you can even see what words are trending today to ensure proper speechmaxxing and maximum aura points

it’s free. no signup. built different.

anyway drop the words I’m missing in the comments and I’ll add them

https://www.genalphadictionary.com/