Blocc vs KoeNote

Blocc is your daily note taker for the conversations that matter. It captures your day as it happens, from a meeting to a lecture to a thought on the drive home, and brings every recording to your phone, ready to transcribe, summarize, and ask. Whether you're pulling the decisions out of a long discussion, revisiting a lecture before Friday's quiz, or checking what was agreed last Tuesday, Blocc keeps the words so you can stay in the moment. Your days build into a record you can read, revisit, and ask, one recording at a time. Record Record on your Blocc, then open the app and your recordings sync automatically. Transcripts A recording becomes a text you can read, word for word. Summaries Blocc finds the key points, decisions, and takeaways out of a recording, so you get what matters in seconds. Ask Ask a question about any recording, and Blocc answers it instantly Templates Pick meeting, interview, lecture, voice memo, or brainstorm Your Days Your recordings are organized by day to fit your schedule Listen Back Play a recording with the transcript alongside, and share it as audio or text. Do More Just by Asking - What did we decide on the budget? - When did we agree to meet? - What was on the grocery list? - What's left to follow up on? Loopsh+ - More transcription minutes - Share your transcripts with Ave, your companion - Priority processing and premium features - All Loopsh+ apps included Supported Devices Blocc works with the Blocc Cube. Private and Safe Your recordings are yours. They sync securely through iCloud and stay in your control. Terms: https://loopsh.com/terms.html Privacy: https://loopsh.com/privacy.html

You open the coffee app. You fill in the form. You open the journal app. You fill in the form. You open the spreadsheet. You fill in the form. People said LLMs would change how we interact with software. The form is still there. KoeNote changes that. Tap record. Speak naturally. KoeNote transcribes your voice, sends it through an AI model using a template you define, and saves the structured result directly to your GitHub repository — in seconds. Your coffee tasting note becomes a formatted json file. Your workout log becomes a structured entry. Your journal becomes a timestamped record. No forms. No friction. Just speak and move on. What makes it different KoeNote is not a notes app. It is a capture layer. Your GitHub repository is the destination — what you build on top of it is entirely up to you. Connect it to Obsidian, trigger a GitHub Action, build a personal dashboard, pipe it into a database. KoeNote gets the data in. You decide what happens next. Templates you own Templates are simple instructions you write once: "Format this as a coffee brewing log with fields for dose, ratio, and tasting notes." KoeNote applies your template to every recording. Different activity, different template — the output is always exactly what you defined. Don't want to write one from scratch? Just speak what you want to capture — KoeNote generates the template for you instantly. Already have a record and want to add more? Speak your update and KoeNote merges it into the existing entry. Your data stays complete, not scattered across separate files. Your data, your keys KoeNote has no backend. There is no KoeNote account. Your API keys for Claude and OpenAI are stored exclusively in your device's Keychain — never transmitted to or stored by KoeNote. Your GitHub personal access token lives in the same place. Nothing leaves your device except the API calls you explicitly authorize. Set spending limits directly in your LLM provider's dashboard. KoeNote never touches billing — your keys, your budget, your control. What you need to get started - A GitHub account and a personal access token (with `contents: write` permission on your target repo) - An API key from Anthropic (Claude) or OpenAI - About five minutes to set up your first template Supported LLM providers - Anthropic Claude (`claude-haiku-4-5` default — fast and cost-efficient for structured extraction) - OpenAI (`gpt-5.4-nano` default — fast and cost-efficient for structured extraction) You can change the model name in Settings. Google Gemini support is planned for a future release.