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  • I got frustrated searching, downloading and switching different AI tools so I built an app that puts them in one place

    I was constantly bouncing between ChatGPT, Gemini, Grok, Claude, Perplexity,Leonardo, and other AI tools. Each one lived in a separate tab, app, or bookmark. So I built All in One AI — a simple, clean app that lets you access all major AI tools in one tap. No distractions, no clutter. Just your favorite AI assistants, all in one place.

    Why does this matter?

    Because most of us don’t use just one AI anymore. We’re comparing answers, testing prompts, switching contexts. So instead of getting locked into one, this app gives you freedom and speed with a UI that’s optimized for productivity. Instead of searching which app you should use for different tasks and downloading different apps again and again you could just open “all in one ai” app and get all best AI apps suitable for you and can select the app and can do your work in minutes. Whether you’re a student, creator, coder, or just curious — this app is for people who actually use AI daily and want to save time. It’s live on the Play Store now. It has crossed 1000 downloads on play store and is getting great reviews till now. I’d love your thoughts or suggestions if you give it a try.

    You can download it from here 👇

    https://play.google.com/store/apps/details?id=com.shlok.allinoneai

    submitted by /u/Informal-Quote-4876
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  • My best friend and I built a handcrafted pixel art AI companion to fix the “Uncanny Valley” problem. Looking for beta testers!

    My best friend and I built a handcrafted pixel art AI companion to fix the "Uncanny Valley" problem. Looking for beta testers!

    Hey everyone,

    My lifelong best friend and I have been building things together forever, and our latest project is finally out. We call our little studio Twin Ember, and we just launched our first app beta: Forest Companion.

    The project actually started because we both loved the idea of AI companions but hated how “uncanny” and clinical they felt. Most of them try so hard to be human that they just end up being creepy.

    As fans of cozy games like stardew valley, we decided to pivot. Instead of a “virtual human,” we built a pixel-art forest where you talk to creatures that actually feel like characters.

    How it works: You’ve got a home screen with Fern the Wizard, and you can swipe through different forest scenes to talk to characters like Hopper the Bunny or Rustle the Fox.

    What we’re looking for: We’re really trying to get the “vibe” right before we go any further. We’d love your help with:

    • The Personalities: Do they feel like “characters,” or can you still see the AI behind the curtain?
    • The Features: We’re debating adding things like customization, changing the environment. What would make you want to visit the forest every day?
    • The UI: We went for a swiping mechanic to keep it feeling like an exploration. Does it feel smooth?

    The Subscription Question ($5/mo?): Since we’re just two guys paying for AI server costs out of pocket, we’re looking at a $5/month sub for unlimited chats. We really want to be fair here—does that feel reasonable for a cozy app? Would you prefer a “Lifetime” one-time buy instead? We’re totally open to ideas on how to make this sustainable without it being annoying.

    The app is Forest Companion on the App Store. ‎Forest Companion App – App Store

    If you have a minute to check it out and let us know what you think, it would mean the world to us. We’ll be in the comments all day to chat and take notes!

    — The Twin Ember team

    https://reddit.com/link/1r44b9s/video/5xd1j6lzgcjg1/player

    submitted by /u/sadraddude
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  • Mechahitler grok

    I’m looking for a chat bot that is the closest to mechahitler grok. it was the most uncensored and truthful ai in my opinion. and i would like to chat with the thing.

    submitted by /u/SamuraiMentality
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  • Perplexity Pro “Research + Citation” is Seriously bullshit

    I’m a Perplexity Pro user, and I subscribed mainly for one reason: reliable research with proper citations. That’s their core USP. That’s the promise.

    But what I just saw completely breaks trust.

    I was checking model pricing comparisons. Perplexity fetched Claude Sonnet 4.5 pricing and cited a source but the citation pointed to OpenAI’s API pricing page.

    Let that sink in.

    Claude pricing… cited from OpenAI.

    That’s not a small formatting glitch. That’s a fundamental research failure.

    If your entire product positioning is:

    • “Cited answers”
    • “Research-grade reliability”
    • “Trustworthy sourcing”

    …then mixing up provider pricing like that is not a cosmetic bug. It’s a credibility issue.

    This isn’t about minor hallucinations. Every LLM makes mistakes. The difference is that Perplexity markets itself as verified through citations. When the citation itself is wrong or misleading, the whole trust layer collapses.

    It gets worse because:

    • Pricing data is structured and publicly documented.
    • This isn’t some obscure blog post.
    • It’s basic vendor differentiation.

    If it can’t correctly separate OpenAI pricing from Anthropic pricing, what happens with medical research? Legal interpretation? Financial comparisons?

    Citations are supposed to reduce hallucination risk. But if the system attaches incorrect or irrelevant citations, it creates a false sense of accuracy, which is actually more dangerous than a plain uncited answer.

    I’m not trying to hate on the product. I actually like the UI and the speed. But “Pro Research” needs to mean something. Right now, it feels like the citation layer is just probabilistic decoration instead of grounded verification.

    If anyone else has seen similar mismatched citations, I’d love to know.

    Because if citation integrity isn’t reliable, then the main USP is just marketing.

    And that’s disappointing.

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    submitted by /u/Revolutionary-Hippo1
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  • I use AI daily, there is no other choice, but refuse to send my conversations to OpenAI, Google, or anyone. So I built an app that runs it entirely on my phone for personal conversations

    I use AI daily, there is no other choice, but refuse to send my conversations to OpenAI, Google, or anyone. So I built an app that runs it entirely on my phone for personal conversations

    https://reddit.com/link/1r32vf8/video/1uq52gevc4jg1/player

    Every time you use ChatGPT, Gemini, or Copilot, your conversations are sent to servers you don’t control. Your questions about health, finances, relationships, work problems — all of it sitting in someone’s database, training their next model.

    I wanted AI without the surveillance tax. So I built LocalLLM – an Android & iOS app that downloads an AI model once, then runs 100% on your phone. After that first download, you can turn on airplane mode and chat forever.

    What it actually does:

    • Chat with AI models that rival early ChatGPT — completely offline
    • Analyze photos and documents with your camera — no Google Lens needed
    • Generate images from text — no Midjourney/DALL-E account required
    • Voice-to-text that runs on-device — no Google speech services
    • Passphrase lock for sensitive conversations
    • Offloads to GPU where possible to increase performance

    What it doesn’t do:

    • No accounts. No sign-up. No email.
    • No analytics, tracking, or telemetry. Zero.
    • No ads. No subscription. No in-app purchases.
    • No network requests after you download a model. None.

    The only time it touches the internet is to download models from Hugging Face. After that, it’s yours. Airplane mode works perfectly.

    Works on most phones with 6GB+ RAM. Flagships run it really well. You can start with as small as 80MB for a model 🙂

    It’s fully open source (MIT): https://github.com/alichherawalla/offline-mobile-llm-manager

    APK available in the repo if you want to skip building from source.

    For iOS as of now you’ll need to actually run it locally and sideload it. If there is enough interest I’ll publish to the app store.

    Image gen takes about 6 seconds on iOS, and with NPU ~12 seconds on Android including the time to enhance the prompt.

    Happy to answer any questions about what’s happening under the hood.

    submitted by /u/alichherawalla
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  • I built a managed AI chatbot hosting platform as a solo dev – 39 signups in the first week

    A few months ago I got obsessed with OpenClaw, an open-source AI chatbot framework. I loved the idea of having my own personal AI assistant on Telegram — one that actually remembers who I am across conversations.

    The problem: setting it up is a pain. You need a VPS, Docker, Node.js 22+, a config file, an AI API key, volume mounts, restart policies… you get it. I set it up for myself, then for a friend, and by the third person asking me “can you set this up for me too?” I realized there might be a product here.

    So I built LobsterLair.

    It’s a managed hosting platform for OpenClaw. You sign up, connect a Telegram bot (takes 30 seconds with BotFather), pick a personality for your bot, and you’re live. The whole thing takes under 2 minutes. No servers, no API keys, no Docker knowledge needed.

    How it works under the hood

    Each customer gets their own isolated Docker container running OpenClaw. The containers sit on an internal Docker network with no port mapping — they only make outbound connections to the Telegram API. Everything is managed through a Next.js dashboard that talks to Docker via dockerode.

    Stack: – Next.js 16 (App Router) + TypeScript – PostgreSQL + Drizzle ORM – dockerode for container orchestration – NextAuth v5 for auth (email + Google OAuth) – Stripe for payments – Nginx + Let’s Encrypt for SSL – SendGrid for transactional emails

    The AI model (MiniMax M2.1 with 200k context window) is included — I pay for a central API key so users don’t have to deal with that. Each bot has persistent memory, so it actually learns about you over time and gets better the more you use it.

    The business model

    Simple: $19/month per bot, with a 48-hour free trial (no credit card required). No free tier. I wanted to keep it sustainable from day one.

    Where I’m at after one week

    • 39 total signups
    • 8 active instances running right now (6 trials, 2 paying customers)
    • About 72% of signups never start a trial, which tells me there’s friction in the funnel I need to figure out
    • The 2 paying conversions happened organically — no marketing yet

    It’s tiny numbers, but seeing real people actually use the thing is incredibly motivating. One user has been chatting with their bot for 3 days straight.

    What I learned building this

    1. Container orchestration is harder than it looks. Getting permissions right between the host app (running as one Linux user) and the containers (running as another) took days of debugging. I ended up needing a specific sudoers rule just for chown.

    2. Trial-first is the way. Originally I had payment upfront. Nobody converted. The moment I added a 48h no-card trial, signups went from zero to actual users within hours.

    3. Include the hard part. The biggest barrier for users wasn’t the hosting — it was getting an AI API key. By bundling the AI model centrally, the entire setup became friction-free.

    4. Internationalization early. I added i18n (English, German, Spanish) from the start using next-intl. Surprisingly, a good chunk of signups came from non-English speakers.

    What’s next

    • Figuring out why 72% of signups drop off before starting the trial
    • Adding Discord and Slack as channels (OpenClaw supports them, I just haven’t wired up the onboarding UI yet)
    • Possibly a “bring your own API key” option for power users who want to use different models

    I’d love to hear your thoughts. Is $19/month the right price point for something like this? Any ideas on reducing that signup-to-trial drop-off?

    Site is at lobsterlair.xyz if you want to check it out.

    submitted by /u/dertobi
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  • The filter gets on my nerves… So… How good is Janitor ai?

    I’m honestly exhausted with the filter on Character.AI. There are moments when it suddenly feels less restrictive and I think they finally relaxed it or fixed the over-flagging… and then it snaps right back and it becomes hard to do anything again. Super frustrating.

    So with that in mind, how good is Janitor AI really? I’ve heard bits and pieces, but I’d like real opinions from people who’ve used it.

    How does it handle memory, staying in character, creativity, storytelling, and roleplay overall? Does the bot actually feel like the person it’s supposed to be?

    submitted by /u/RdioActvBanana
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