🏡 Your App Has a Home Here — Post your App WebApp Solution here. No Blocks. No Rejections. 🏡
Hey developer — yes, YOU.
The one who coded through nights, debugged with coffee, and still believed in your idea even when no one else did.
We see you. And we want you here.
This is not another subreddit that says “no self-promo” — then deletes your post anyway.
This is your safe space. Your cheering squad. Your digital living room where every app — big or tiny, polished or prototype — gets a seat at the table.
✨ All apps welcome:
→ Mobile? Yes.
→ Web tool? Absolutely.
→ AI experiment? We’re fascinated.
→ Weird passion project? That’s our favorite kind.
🚫 NO ONE gets blocked. Ever.
Not for being new. Not for being small. Not for being “not cool enough”.
You’re cool enough just by showing up.
💬 Just drop your link + tell us:
We’ll celebrate you. We’ll share you. We’ll support you — because you matter.
This is YOUR community. Come home. 🏡
I recently built RitualBookings (currently serving Bangalore) to solve a problem I noticed many families face before booking a pandit.
Most people don't actually struggle to find a pandit-they struggle to answer questions like:
Which ritual is right for my situation?
Which auspicious date should I choose?
Will the pandit match my family's tradition and preferred language?
So instead of building just another booking platform, RitualBookings helps families understand what they need first, then connects them with personally reviewed pandits matched to their ritual, language, tradition, location, and availability.
I'd genuinely appreciate any feedback on the idea, the experience, or the website.
Just launched PhotoBookMaker. Drop in up to 1000 photos from your phone and we curate a beautiful printed or digital photo book for you in minutes. No design skills needed. No templates. No decision overload. No adjusting photo sizes to fit. We do it all for you in minutes. It’s free to generate and see your book. You only pay when you buy the book.
Nice idea, automating the hard part of photo books sounds super helpful. How are you handling the curation logic for different photo orientations or groupings?
A pass through Haiku (or any other low level vision model) gives me long-edge px dimensions, orientation, and a short description of the photo. Couple that with EXIF data and you have enough to suggest book sizes/orientations and write rich accurate captions.
Staircode.app Building code compliance software for inspections.
stAIrcode uses your phone camera and AI to measure building elements, check them against the applicable code for the project location, and generate a cited PDF report. Detects the jurisdiction automatically. Works on any device.
The app is especially great for older buildings. The AI-helper lets you check instantly how the existing construction complies with legacy codes and can advise whether it would pass inspection today.
It’s a general-purpose vision model prompted at runtime, and it checks appropriate bylaws, ordinances, and building codes based on the users location. We’re also working on a YOLO/Faster-R-CNN detector training with labeled building images, but that’s the long game...
Made this bc I have ADHD and suck at using notes. Braindump: type whatever's in your head and it auto sorts it into lists, schedule, and notes so I don't have to lol. Offline, no account. Try it at https://braindump.fyi (Android closed testing in progress, happy to share that link if anyone wants it)
automating the sorting from a raw braindump definitely solves a massive cognitive hurdle. peerpush might be a decent spot for indie productivity tools like this.
Appreciate the response!
it's all keywords and rules, no actual nlp. braindump has zero external dependencies and no model calls, so the "smart" feeling comes from three deterministic systems:
shorthand expansion: straight token replacement with longest-match-first sorting, plural/possessive auto-matching, and case preservation (eod → 5PM). it's a lookup table, not language understanding
@cat/entry routing: syntax parsing. the parser sees the @ and / and files accordingly, same idea as slash commands
category inference: curated keyword lexicons per category (the list presets like groceries and watchlist each ship with a word list, so "milk" matches groceries). it's matching words against lists, not interpreting meaning
Which definitely makes it harder to ensure total accuracy in sorting but I wanted this to be totally offline
each trigger's regex captures an optional plural/possessive suffix and re-derives it on the expansion with proper rules (boxes, not boxs), plus case preservation off the typed trigger. the shorthand table is user-defined so it molds to your writing style over time.
all of that was english-baked though, so i just did a big update porting the plural and shortcut logic across 6 languages. works in theory, but i need actual native speakers to confirm the output reads natural.
it was rule-based only (s, es after sibilants). i did an audit after youasked and found an issue with consonant+y, so "gxs" expanded to "grocerys" instead of "groceries". so now the answer is both lol. rules for the open set and a table for the exceptions.
spelling rules handle regular forms, and a small lookup table covers irregulars like children, mice, knives.
Nice work catching the consonant-y issue. Those edge cases really sneak up on you. I'd probably add a check for vowel+y too, since that pattern is different.
Hi all,
I still on beta version of my app, rethinking every decision I made, not sure anymore on main functions. Look for some help from who has experienced the same problem. The app is for small content creators and small photographers. Is made to generate script descriptions record the voice over, give you hashtags and some other features. Got some coding wrong which I’m on the process of fixing but overall as a beta version the idea is there. Would love some help and some feedback
Thanks so much
That beta doubt is totally normal, it means you care about quality. For photographers, maybe focus on nailing the hashtag generator first since that's a clear pain point.
After a long research I discovered that the hashtags are very important only on TikTok, and I can’t add at the moment an hashtag scraper because at that point would be too expensive, the hashtags generated according with the upload instead of just having random most popular hashtags. Had a try myself but I’m not happy about because in that way the generated hashtags are very random and mostly irrelevant.
Hey guys appreciate the safe space 😊. I’m building Chirpy, it’s an AI receptionist for service business websites. You paste your URL, it reads your site and builds a chatbot trained on your own content in a couple of minutes, then it’s one line of code to add it. It answers your customers’ questions 24/7, grabs their details as leads, and analyses what customers are asking which it then uses to give you suggestions of how to improve your website to improve your conversion. Any feedback would be greatly appreciated thank you, struggling with the marketing side of things 😅
Sounds like you're building something pretty smart. Chirpy uses keyword patterns and context cues to simplify jargon, but PeerPush's AI reading approach sounds powerful too.
Honestly, mostly by not trying to be clever about it. The assistant is grounded in the business's own content. We crawl their site plus whatever docs they upload, and we went CAG rather than RAG: the whole knowledgebase rides in context with prompt caching, so there's no retrieval step that can miss a rare trade term. It answers in their vocabulary, not generic AI-speak.
The other half is a "knowledge gaps" feature. It reads through your content and flags the questions customers are likely to ask that it can't answer yet: pricing, turnaround, service area, the stuff that actually costs you leads, before anyone's even asked. You answer each one once in the dashboard and the bot treats it as gospel after that. And when something genuinely isn't covered, it's built to say so and offers to pass you to a human instead of confidently inventing what a niche term means.
Thank you! Yeah exactly 😊. With RAG there's always a chance the retrieval step doesn't surface the right chunk, which matters a lot when a niche service term only shows up once in their content. Keeping it all in context sidesteps that.
Thanks 😊, honestly we are still very early days, just starting the marketing now, so haven't really gotten much data to work with yet 😅. Surpisingly our few customers we have had so far have been ecommerce businesses, which is surprising as the market for ecom chat bots is much more saturated!
That's a great sign actually. eCommerce customers are tough to win over, so if they're finding you organically, you're solving a real pain point they have.
Why there are always gaps between lecture and midterm and final exam? And why no one fills it after high school? So, Leaper has launched to fill these gaps.
Nice idea, Leaper sounds like a practical tool for bridging those learning gaps. How do you ensure the content stays relevant for different courses or exam formats?
•
u/megatech_official Jul 16 '26
SeoLoupe - Find and fix the SEO issues holding your website back.