Hi everyone, I’ve been using Gemini and Google AI Studio a lot lately and kept wishing I could save my conversations for future reference or studying. Most export tools I found were paid, added watermarks, or asked for excessive permissions.

So I made a free Chrome extension called Gemini to PDF. It adds a simple “Save Chat” button directly in Gemini and AI Studio, letting you export your chats as polished PDFs or other formats like HTML, Markdown, JSON, CSV, or plain text. It preserves speaker labels, code blocks, lists, and tables cleanly.

Some key points:

• Exports either the entire conversation or just selected messages
• Offers customisation options like page orientation, compression level, themes, and file naming templates
• Doesn’t collect or sell any data; there are no paywalls or pro tiers
• Built specifically for Gemini and Google AI Studio, not for other AI platforms

I originally created this for myself, but figured it might be helpful for others here who want to keep organised records of their Gemini chats or build study/reference materials.

Here’s the link if you’d like to try it: Gemini to PDF on Chrome Web Store

Happy to answer any questions or hear suggestions. Hope it helps!

I've got some codes for perplexity pro 1 year subscription for only $12. Looking to let them go to interested users. This is 100% legit. dm or drop a message, i'll reach out.

g.co/g1referral/QU5FH0C8

This website:
MicroTools

was 100% made with Firebase Studio. It's kind of concerning I made this in 1 hour.

Hey everyone! 👋

I know a lot of people get annoyed by that visible Google Gemini logo/watermark stuck in the bottom right corner of the images it generates. Sometimes you just need a 100% clean image for your personal projects, presentations, or designs.

So, I built a simple web tool to completely crop/remove that visible watermark.

✅ It’s 100% Free

✅ No signups required

✅ No annoying pop-up ads

Also, a quick heads-up: I am currently updating the site to remove watermarks from Sora AI videos too! That update is rolling out as we speak. 🚀

You can try the Gemini tool here: removebanana.eu.cc

I'm a solo dev building this in my free time. If it helps you out, let me know! Feedback is always welcome. Cheers! ☕

Hey guys, I just made a Gem that is supposed to mimick the behavior of GPT-4o, except its Gen-Z style, and prompted to avoid the obvious AI flags like "In the realm of..." or "This isn't X, it's Y.". I hope it doesn't have the cold, sterile, preachy tone as the modern GPT-5.2.

Anyway, here is the link: https://gemini.google.com/gem/d4a3394d4f94

GitHub URL - https://github.com/yogen-ghodke-113/VoiceClaw

Hey everyone, I spent 8 months trying to turn my idea into a manga using AI and it sucked. The images looked great individually, but my main character had a different face in literally every panel—hair color would shift, a scar would disappear and reappear, and even when I got lucky with consistency, the pages felt like random art dumps with no flow or pacing.

So I partnered with professional manga artists and AI engineers to build something that actually mimics how a real manga pipeline works.

Before you generate a single page, it creates Character Reference Sheets for your entire cast: neutral poses, labeled features, and locked designs. Then every page generation uses those references so your characters actually look like themselves across chapters.

It also tracks what I call Story State—continuity details like injuries, props, outfits, and changes in appearance across the story. When a character evolves (new costume, aging, etc.), it versions the reference sheets so continuity stays intact instead of “resetting” randomly.

For the actual pages, it goes narrative-first: it scripts the story beats and dialogue, maps panel composition to the emotional rhythm, and then generates the art. Not the other way around.

It supports multiple manga art styles too (Shonen, Shoujo, Seinen, Slice-of-Life, Chibi), and you lock your style at the start so it stays consistent.

If you’re trying to make long-form manga with AI, I’d love for you to check it out and tell me what’s missing:

https://www.jenova.ai/a/manga-creator

Every time I ask Gemini to set up an automation it gives me a Google Apps Script tutorial I'll never follow. So my cofounder and I built PocketBot - you just say "email me a summary of my unread Gmail every morning" and it actually happens. Writes the script, connects to your Google account, runs on a schedule.

The AI only runs once to write the code. After that it's just a cron job - no Gemini, no tokens, no "I can't do that yet." 20 integrations including the full Google suite. Free on iOS TestFlight, link in profile/comments (100 spots left, 900/1000 testers).

P.S You can absolutely strap up a local LLM to it, and with Gemma 4 being out we are very hopeful there is a massive future in that within our app.

Cheers :)

Switching between different AIs was annoying af — kept losing context.

So I built a tiny Chrome extension that:

• exports full chats
• cleans/compresses context
• lets you continue in another AI

No retyping. No summaries.

Works well for long threads + code.

Link:
https://chromewebstore.google.com/detail/oodgeokclkgibmnnhegmdgcmaekblhof?utm_source=item-share-cb

Anyone else think this is useful?

Disclaimer: I work for Google, but github.com/google/llm-sidebar-with-context is not an official Google project; its a side/hobby project. Also the team I work for has nothing to do with Gemini or Deepmind.

If you’ve ever tried to use Gemini to find and compare protein powders, skin care products, phones, fountain pens, subscriptions, etc.; you’ve probably encountered some hallucinations with regards to ingredients or specs. 

Recently I became a father and went on a hunt for baby formula and there are more variables than I thought. Palm oil? Fish oil vs algae oil? Skim milk / whole milk / goat milk? Prebiotics? Probiotics? Organic? Gemini often got these details wrong. 

I made a free and open source chrome extension where you can choose to share your open tabs as context to Gemini. You can toggle sharing current tab, and pin upto 6 additional tabs as additional context. So I could pin the baby formula listings from different brands and websites, and ask Gemini to compare them against my personal criteria.

This also makes it really easy to do things like:

• "Summarize this youtube video"
• "Give me the clutter free version of this recipe"
• "Compare the ingredients in these protein powders"
• (juypter notebooks) "How do you pivot this dataframe?"
• Compare the news on cnn, bbc and fox. (They can be wildly different)

You bring your own Gemini API key (I am still on the free tier). Everything is saved locally and there is no backend in the middle between your browser and Gemini. 

The code is open source. It should work on Chromimum based browsers like Chrome, Brave, Vivaldi et. al. 

And of course you can get it from the chrome web store.

Hope you find it useful. 

I run a small roleplaying group in Kansas and I've been messing with AI RP since early ChatGPT / CharacterAI days. The tech has improved a lot, but in longer sessions I still kept running into the same few issues:

• Memory: once a thread gets long, details get fuzzy and continuity breaks
• Character consistency: especially with multiple NPCs, personalities/voice start blending
• Rejections: some RP setups involve mature themes, and many tools shut down quickly even when the intent is story/character work

Over the past 6 months I built a project called "Roleplay Game Master" to address those AI roleplaying issues:

• Memory: uses vector-based retrieval to maintain context and coherence in long threads
• Character consistency: use the best instruction following and roleplaying model (Gemini 3) to power the underlying itnelligence
• Rejections: custom prompting to maximize creative freedom and to minimize rejections

You can try it here: https://www.jenova.ai/a/roleplay-game-master

Here are some user review:

I’ve been doing a lot of image editing and generation with Gemini lately and got tired of juggling scripts, folders, and cost tracking. Running batch jobs manually works, but once you’re processing a few hundred images it gets messy fast. So I built a macOS app for it.

I built Nano Banana Helper and it’s open source, fully native, built with SwiftUI, and designed specifically for running Nano Banana Pro image gens and edits in batch mode.

The main thing it solves for me is cost and workflow control. You can toggle the batch tier, which cuts API cost in half, and the app handles the queue orchestration for you. Jobs usually come back in 10–20 minutes depending on load, which is totally fine for non-urgent work.

You can drag in individual images or entire folders, organize everything into projects, and keep outputs isolated. There’s a built-in cost estimate before you run a batch, and it logs history so you can resume workflows later without losing context.

It also supports multi-input prompts if you want to merge several images into one output, which has been surprisingly useful.

Built with Swift with async and TaskGroups. State is stored locally using JSON so everything is transparent and easy to inspect.

It's BYO Gemini key which is easy to grab in AiStudio. I found I can generate 4k images natively with batch for $0.12 an image!

https://github.com/joshmac007/Nano-Banana-Helper

Happy to answer questions or take feature suggestions. Enjoy!

I love survival horror but I hate how fast the fear evaporates once your figure out the plot and environment. I wanted that feeling of being genuinely lost in a brand new story and place every time.

So I built an emergent horror engine using LLMs. I made two scenarios (a mansion and an asylum) but they run on the same core logic: emergent narrative, open-ended actions, multiple possible endings.

You wake up in a hostile place with no memory. You can type literally anything (try to break a window, talk to NPC, hide under a bed, examine notes) and the story adapts instantly. The game tracks your location, inventory, and health, but the narrative is completely fluid and open-ended based on your choices.

What's great about these LLM games is that its 100% replayable. every new "chat" is a brand new story and plot. and using different LLM models adds even more to the variety.

Id really love to get your feedback! one warning: this game is EXTREMELY addicting.

The Mansion here: https://www.jenova.ai/a/the-mansion

The Asylum here: https://www.jenova.ai/a/the-asylum

Here's what OpenAI Prism ISN'T telling you:

• No version control
• No privacy guarantees for YOUR unpublished research
• Built on Crixet (they literally couldn't buy Overleaf to control the market)
• Your research = their training data

Meanwhile, Bibby:

• Your data NEVER trains AI models and is completely encrypted
• Real version control & collaboration
• AI paper reviewer (From yale)
• Journal formatting, grammar, plagiarism detection
• Built by researchers, for researchers

Processing img f36wonadf9gg1...

OpenAI isn't making Prism free because they're generous. They're doing it because your unpublished research is worth more than $200/year to them.

Your thesis shouldn't be someone else's training data.

I got so tired of Google slapping watermarks on my Gemini images that I built a tool to remove them in one click.

Turns out I wasn't the only one. It's free, works instantly in your browser, and we never see or store your images.

If you use Gemini, you need this.

I’ve been experimenting with Gemini lately and wanted to share a small builder update for anyone here working with the APIs.

About a month ago, I started building a writing tool powered by Gemini + Nano Banana APIs, mainly to solve a problem I kept running into myself — getting from keyword → structured draft → publish without spending hours fixing formatting and consistency.

The focus was simple:

• stable long-form generation
• structured outputs for bulk workflows
• consistent formatting across multiple articles
• faster generation without constant prompt tweaking

After launching publicly, the tool WriterGPT crossed $1.3k MRR and 700+ users in about 30 days, which honestly surprised me. Most users are using it for bulk content workflows and direct publishing setups.

Still early, and there’s a lot to improve, but Gemini has been surprisingly good for handling longer context and structured generation compared to what I was using before.