A

A writing coach that's not allowed to write your sentences

Hacker News

A writing coach that's not allowed to write your sentences

Hi HN, I'm the technical advisor and one of the co-founders for Oghmere ( https://oghmere.com ), a writing tool for people who care about the integrity and authenticity of their writing, including journalists, essayists, newsletter writers. Along with inkandops and notgrrly, we are bootstrapping this project to make sure we can focus on building AI tools that benefit authors without replacing them. It is very easy today for anyone to fire up a chatbot or other AI tool to write for them, and it’s a really useful tool that I use every day at my $dayjob, or to summarize and review topics I am researching or working on, but those generated texts aren’t something I care about the authenticity because they are steps to getting a job done. When I write my own opinions, fiction, or D&D content, I don’t want to use generated text, I want to exercise my mind and creativity. That is the constraint we care most about in Oghmere: the AI is not allowed to generate, autocomplete, or rewrite your prose. It can ask questions and point at things in a draft you already wrote, it can even suggest changes you can make, but that's it. This isn't a limitation of a capability - we use Anthropic models, and are experimenting with other providers as well; they are fully capable of writing the sentence or generating text for you, but building that authenticity and working to retain it is the core tenet of the product and platform that we enforce. If you want to know how it actually holds together: there's an authoring pipeline: Voice (built from writing that you provide, or an interview to define a target Voice) → Brief → Outline → Editor Each stage is optional, but they all yield structured data from author interactions that steers the guidance that the coaches provide. We enforce the constraints on AI authorship very simply; the AI tools that can provide coaching and feedback don’t have a mechanism to update the document directly, they can only provide review comments and feedback. There is a tooling surface for deterministic reviews like spellcheck and grammar check to recommend and apply changes, but if an author wants to leverage AI feedback, they have to rewrite their prose themselves. In addition to the coaching and feedback, we are also building in research tooling, and project and document knowledge bases, and AI powered author feedback that assess how you are writing and where you can improve. We also have a weekly writing challenge that allows authors to stretch and grow! Writing, editing, version history, and export are free and unmetered, with some AI powered wizards that can help customize and tailor the experience. There are no direct charges for basic editor features, but all AI and some other capabilities consume credits, all of which are indicated in the UX, examples include coaching passes, a voice-calibration pass, a research query. We hope to change the dependency on credits in the future, but we are still working out the longer term billing/pricing model. You can try it without signing up using our test page (metered to 5 coaching passes): https://app.oghmere.com/try/HACKERNEWS2026 After you try it out, or if you want to skip trying it first, you can sign up for a free account (no card required) that includes a bundle of free credits at https://app.oghmere.com/campaign/HACKERNEWS2026 We would really love your feedback as we speed towards a general release, and we are happy to answer questions about how it was built and what we are planning for the future! Yvan (ygjb), Monique (inkandops), and Sandhya (notgrrly)

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2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, new, models · Missing: mac, agents, macos
70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, pipe, io · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, reviews · Missing: plus, intuitive, host
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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