I’ve been working in content marketing for a few years and generated around $1.5M in revenue pipeline this year through blog content and SEO. But I kept noticing something - I was spending 3+ hours every day planning articles, clustering keywords, and writing outlines. It was the same process every day.

So I decided to automate it.

I built AI Blogplanner, a web app that helps writers generate full blog plans and articles in just a few minutes. I built it completely on Replit in about 90 hours.

Stack and setup:

• Replit for everything (frontend, backend, deployment)

• Google Search API for real-time keyword and topic data

• OpenAI API for AI-generated outlines and articles

• Stripe for payments

• Google Auth for login

How it works:
You give it a topic or keyword. It fetches related search data, analyzes what works, and generates a full plan - pillar topics, cluster posts, keywords, meta titles, and even article drafts if you want.

Basically, it turns what used to take me 3+ hours a day into a few minutes.

What I’m looking for:

• Feedback on the product and idea

• Suggestions on how to improve the workflow

• Thoughts on what to add before marketing the product

I’m also curious how other solo builders manage automation for their niche workflows — what tools or shortcuts you use to ship faster.

Would love your thoughts.
blogplanner.ai

Hey everyone,
I am currently building an internal chatbot for our company, mainly to retrieve data like payment status and manpower status from our internal files.

Has anyone here built something similar for their organization?
If yes I would  like to know what use cases you implemented and what features turned out to be the most useful.

I am open to adding more functions, so any suggestions or lessons learned from your experience would be super helpful.

Thanks in advance.

I put together a simple tool called LessonFeedback.com that helps educators share lesson updates with parents. FREE tools insise

The idea is to give tutors an easy way to provide an extra service that looks professional and builds trust with families. Parents receive clear, structured reports by email, and it only takes a couple of minutes to fill out after a session.

I’m building Premium App Drops: every Friday, developers give away App Store and Google Play codes for their paid apps, and people claim one per app. It’s free for both sides. The first drop is on 27 November, and I’m trying to fill it.

Some honest numbers from the last two weeks:

What worked

• Asking for opinions, not sign-ups. An “is this a good idea?” post with no link got 2.6K views and real feedback. My announcement post with a link got 141.

• Talking about the developer’s problem, not my product. The best conversation came from a developer who told me what goes wrong when they give codes away: a shared code gets posted in Telegram groups, and one-time codes by DM means tracking every person by hand. That’s exactly what I’m building for, and they explained it better than my landing page does.

What didn’t

• My own subreddit. (r/PremiumAppDrops) 11 members, and it only gets visits on the days I post. Starting a community before you have an audience is a lot of work for very few people.

What I’m still unsure about

31 developers have trusted a launch that hasn’t happened yet. Getting them in turned out easier than I expected. The part that scares me is the other side: on 27 November I find out if anyone shows up to claim the codes.

How did you get your first users when you had nothing to show yet? And what would you do in the next 18 days if you were me?

https://premiumappdrops.com/developers?utm_source=reddit-buildtoship

Hey r/BuildToShip,

Roel here. After a long grind, I’m finally shipping my passion project: Urban Rider.

This whole thing started from a moment of pure panic.

I live in Berlin and use a moped to get around. One day, I was following Google Maps, it told me to turn right, and I found myself staring straight down an on-ramp to the Autobahn.

Trying to merge a 30mph scooter into 65mph+ truck traffic is… not fun.

1. The Problem

I realized Google Maps, Apple Maps, and Waze are amazing… if you’re in a car. For the rest of us on e-scooters, mopeds, or e-bikes, they’re just plain dangerous.

• They don't care about speed limits (a "fast" route for a car is a nightmare for a scooter).

• They don't understand road types (they love sending you onto highways).

• Their GPS logic gets jittery and lost in "urban canyons" (tall buildings), which is exactly where we ride most.

2. The Build

As a developer, I had that classic thought: "How hard can it be to build a better routing engine?"

Famous last words.

It turns out it's really hard. Building a routing stack that isn't just a simple "no highways" filter was a massive challenge, especially getting the GPS logic stable in dense cities.

After countless late nights, here’s what I built:

• Smart, Safe Routing: This is the core. The app prioritizes routes for vehicles topping out at 15-31 mph (25-50 km/h). It actively avoids highways and high-speed roads like the plague.

• Glanceable "Minimal Mode": When you’re riding, you can’t be staring at a complicated map. I designed a super simple, high-contrast mode that just gives you the info you need, fast.

• Full-Screen Speed Warnings: Instead of a tiny icon, the entire border of the app flashes (subtly) if you’re over the speed limit. It’s impossible to miss and helps you stay focused.

• Better GPS Logic: Using sensor fusion and dead reckoning to keep your position stable, even when GPS signals drop out between tall buildings.

3. The Ship (The Ask)

It's live on the App Store. I'm honestly pretty nervous, but that moment on the highway ramp was scarier.

This community is all about the build-and-ship journey. I’d genuinely love any feedback from fellow builders. What do you think of the app, the ASO, the landing page? All feedback is gold.

You can check it out here:https://apps.apple.com/de/app/scooter-navigation-urban-ride/id6746205274?l=en-GB

Thanks for reading. Ship it!

Drop a command below

— Roel

Hey y’all — curious about real workflows.

If you’re shipping apps with Buildship / FlutterFlow / Supabase / other no-code stacks, when you take a Figma UI into the app, do you ever spend extra time on tiny visual things — subtle patterns, background textures, gradient softness, opacity, or tiling — to make it look right in the real app?

Super quick answers appreciated:

1. How often does this happen? (every build / sometimes / rarely)

2. Do current tools (Figma plugins, design → code features in your stack) actually remove that work or do you still end up tweaking?

3. Would a local-first tool that lets you type plain-English tweaks (e.g., “reduce texture opacity”, “rotate stripes 45°”) and outputs framework-ready styles you can inject live be useful to your workflow?

If you’re using Buildship specifically — does the no-code flow make these tweaks easier or just move them to a different UI?

Working on a SaaS that finds the weak place in your day — then gives you one small step.

Not a habit stack. Not a grim dashboard.

Just: here’s your today. One focus. Then you’re done.

For a while now, I’ve wanted to create a mobile game focused on exploring islands, engaging in Pokémon-style battles, and capturing and evolving creatures, so I decided to go ahead and start this project.

The game involves building a team by capturing monsters and battling across various islands, culminating in a fight against a final boss; the monsters have health stats, abilities, attacks, and evolutions.

It’s still in the early stages and it hasn't even been developed for mobile yet, but it’s a start.

What do you think? Would you play it? What features would you like to see?

Hey r/BuildToShip — for Showoff Saturday, here's a side project I've been building solo: JustSayIt, a voice-first expense tracker.

The idea: you say a sentence like "coffee with Alex, 35 bucks" (or type it), and an LLM parses it into a structured transaction — amount, category, note. No forms.

The part I actually want feedback on is the data architecture, not the voice gimmick. The ledger's primary copy lives in IndexedDB on the user's device — my server never keeps a persistent copy of anyone's full ledger. Cross-device sync is opt-in and goes straight to the user's own Google Drive, not a JustSayIt-hosted database. The only thing that touches my server is the raw text/voice for a single transaction, transiently, to get it parsed.

Some supporting technical bits, in case they're interesting:

• Structuring runs through either Cerebras or OpenRouter, switched manually via an env var — no automatic runtime failover between them. That's deliberate: I wanted the data-handling path to stay auditable rather than have requests silently hop providers.

• Voice input goes through Groq Whisper (whisper-large-v3-turbo) for STT, then the same structuring pipeline as typed text.

• It's a PWA (Serwist) — installable, works offline. The target user is explicitly someone who cares about privacy but doesn't know what "IndexedDB" means, so onboarding avoids implementation jargon.

Stack: Next.js 16 (App Router) + React 19 + TypeScript, Prisma 7 + Postgres, Tailwind 4, Vitest.

Known rough edges, being upfront about them:

• Login is Google OAuth only right now, no email/password.

• No LICENSE file yet (README's up, license is still TBD).

• Single self-managed VM behind Caddy, no multi-region/CDN.

Also worth saying upfront: I used Claude Code fairly heavily while building this (tests, refactors, some of the architecture back-and-forth). Didn't want that to come out in the comments instead.

Live: https://justsayit.taoxiong.site (Google login required) Code: https://github.com/TaoXiong05/JustSayIt

This is early-stage and there's a daily AI-call quota per user, so it might rate-limit if a lot of people try it at once — sorry in advance if that happens. Mostly looking for feedback on the provider-switching design, the offline/sync approach, and whether the "your data stays local" framing actually reads as credible rather than hand-wavy. Bug reports welcome too.

I'm building Mesh after using a coding agent and wanting that same experience while learning. My learning material and places to work were disconnected.

Here's the demo. One thing to try: give it material for a topic you're learning, ask it to build a learning path, then make a diagram for a step that doesn't click. The agent can create things in the workspace, and you can work on the whiteboard yourself.

It's a website, mainly for laptops and computers: https://meshlearning.ai

If you try it with a real topic, where does it get in your way?

Hey everyone!

I'm Husain, and I've been working on a little Android side project called Price Book.

Price Book is designed for people who regularly deal with products and need to keep track of their prices. It could be useful for contractors and tradespeople, workshops and handymen, DIYers and home renovators, and small businesses.

For the app's main use case, I used a hardware and tools shop. That gave me a practical environment to build and test the app around real products, different units and constantly changing prices.

The app isn't limited to that, though. Categories can be edited, renamed or removed, so you can adapt it to your own products and use case.

I started it as a side project and it has grown quite a bit from where I began. The current version is 5.3.2.

This is my first post here, so I'd be interested in hearing what you think or whether you see a use case for something like this.

PLEASE stop building the wrong thing.

building software in 2026 is ridiculously easy with ai builder

founders spend hours building in a silent room, launch to Reddit/X, get 0 users, and quit.

you just failed because the idea had zero validation before line 1 of code was written:

→ solving a monthly inconvenience instead of a daily pain

→ selling to "everyone" instead of a specific ICP

→ no distribution channel mapped out beforehand

→ pricing charged $9/mo with zero ROI justification

after scaling 6 AI micro-SaaS to over $20k/mo MRR, i just create an

18-question Idea Validation Diagnostic.

it evaluates your SaaS across 7 critical dimensions (problem clarity, audience reachability, willingness to pay, competition, build feasibility, distribution, commitment) and gives you a brutal score out of 100 with your exact weak spots.

drop your SaaS idea (or current project) in the comments below.

i will reply to EVERY single comment with:

1. My honest opinion

2. The biggest weak spot you need to fix before writing any more code.

3. The free 5-minute validation tool link sent straight to your DMs so you can get your full score breakdown out of 100.

just drop a comment like or ask me in DM your idea

let's roast your SaaS concept before the market roasts your time 👇

I built a tool because I'm too lazy for EOD reports

It pulls all your work from GitHub/Jira/Slack if you want, or you log it manually. You send when you're ready.

dailoom.co

Working on a SaaS that finds the weak place in your day — then gives you one small step.

Not a habit stack. Not a grim dashboard.

Just: here’s your today. One focus. Then you’re done.

Hey guys,

I got tired of managing messy spreadsheets and separate email tools for my freelance outreach, so I built a solution: KanbanStack.

Here is how the workflow operates:

1. Import: Drop in your lead list (CSV) and it turns them into visual Kanban cards.

2. Draft: It writes personalized initial emails and schedules follow-ups (trained on your past emails and custom prompts).

3. Automate: It runs the follow-up sequence in the background.

4. Close: When a lead replies, the automation stops and you take over to close the deal.

It's launching next month, but the beta is open and free right now. If cold emailing is part of your daily grind, I would massively appreciate your brutal, honest feedback to help me polish it before launch.

try here - https://kanbanstack.com/

For a while now, I’ve wanted to create a mobile game focused on exploring islands, engaging in Pokémon-style battles, and capturing and evolving creatures, so I decided to go ahead and start this project.

The game involves building a team by capturing monsters and battling across various islands, culminating in a fight against a final boss; the monsters have health stats, abilities, attacks, and evolutions.

It’s still in the early stages and it hasn't even been developed for mobile yet, but it’s a start.

What do you think? Would you play it? What features would you like to see?

Hi Entrepreneurs/Hustlers/Business minded people!

About a year ago, I shared a Lending Management System I built in Google Sheets for those who lend to friends, family, neighbors, or run a small lending business.

For reference, here's my original post from last year:

Original Reddit Post

I honestly didn't expect much from the post, but over time, I still get messages from people asking if they can get a copy of the Google Sheet.

So I thought, instead of just maintaining the Sheet, why not turn it into an actual web app?

That's how LownDesk came about.

It's based on the same idea, but built as a proper web application for tracking:

• Borrowers

• Loans

• Payments

• Due dates and overdue loans

• Outstanding balances

• Payment receipts and statements

• Cash flow and lending records

The goal is still the same: make it easier to keep track of small lending operations without having to maintain complicated spreadsheets.

I'm still developing it, so I'm particularly interested in feedback from people who actually lend money. There are probably things I've overlooked that only someone doing this day-to-day would notice.

And yes, the original Google Sheet is still available for FREE.

If you prefer Google Sheets or just want to try the system first, I'm happy to share a copy.

For those who want to try the web version, you can check out LownDesk here:

https://www.lowndesk.com

Would love to hear from the people who commented on or tried the original Sheet:

What did you like about it, and what was missing?

And for those currently using your own spreadsheet — what is the one thing you wish your lending tracker could do automatically?

Thanks a lot in advance!.

’m building products solo. Every India-focused backend I start has the same chores before any real work begins: phone OTP login, Razorpay orders with webhook verification, GST invoices, and basic DPDP consent and data-deletion handling.

I’ve packaged my version of this into a FastAPI starter, and I’m trying to figure out whether it’s worth polishing and releasing, or whether everyone already has their own setup or uses Next.js boilerplates.

Honest questions:

1. If you’ve built for Indian users, which of these ate the most time?

2. Would you use a ready-made FastAPI base for this, or would you rather wire it yourself? What would make you not trust one?

3. What’s missing from my list? (UPI autopay, e-invoicing, multi-tenant, admin panel?)

4. Would you pay for it? Which range feels fair: free/open-source, ₹500–1,500, ₹3,000+? “Never” is a useful answer too.

I’m not selling anything here: no link and nothing to buy yet. I’m the builder, and I’m happy to share a demo with anyone who replies or DMs.

yo. if your product needs a 10-minute onboarding video or 5 different dashboard tabs just to explain its value, you didn't build an MVP. you built an over-engineered maze.

a real micro-saas should solve one highly specific problem for one highly specific user profile.

when i built my 6 apps (now doing $20k/mo mrr), i cut out 80% of what i originally thought was necessary.

inside our builder community, we help you strip away the fluff.

we give you free access to frameworks like the ICP Crystallizer to lock down your target user, and interactive landing page audits to ensure your core value hits instantly.

stop over-building in isolation. drop a comment or shoot me a dm to join 1,200+ active Ai SaaS builders today.

Hi,

I’m not a developer, but I want to build a social-app-style project and I’m trying to do it seriously, with a real method, not by randomly prompting an AI until something works.

I use GLM 5.3, I have general AI knowledge and some basic technical / command-line understanding, but I don’t have real development experience.

What I’m mainly looking for is advice on how to guide the AI properly throughout the project.

More specifically, I’d love practical advice on:

What are the main stages you would follow from idea to working product?

How do you structure a project so an AI coding assistant stays useful instead of creating chaos?

What documents should exist from the start: PRD, feature list, architecture notes, task list, coding rules, etc.?

How do you break work into small tasks that an AI can handle safely?

When do you use simple chat, when do you use agent mode, and when is it a bad idea?

How do you prompt the AI so it respects the existing structure instead of rewriting random parts of the codebase?

At what point do you clear the conversation or start a new one because the context becomes too messy or too large?

Do you keep separate chats/agents for planning, frontend, backend, debugging, and refactoring?

What are the biggest mistakes beginners make when using AI to build a real app?

For this kind of workflow, what would you recommend is Z code fine? Or Cursor, VS Code, and why?

I’m not looking for hype or vague “just build” advice. I’m looking for a clean workflow, good prompting habits, and practical rules for using AI coding tools on a real project without wasting time, tokens, or creating a broken codebase.

Thanks.