Repeatedly rewriting prompts wastes time, AI platforms fail to interpret mixed-language or dialect input, forcing mental translation, and users lack personalized model recommendations, leading to suboptimal responses.
Writing effective prompts for AI platforms is tedious and often requires multiple rewrites, especially for users who think in mixed languages or are unsure which model to use.
Built a Chrome extension that rewrites your prompt with one key, reads your full session context, works in every language on earth, works on every AI platform. Haven't shipped yet. Need real feedback.
Built a Chrome extension that rewrites your prompt with one key, reads your full session context, works in every language on earth, works on every AI platform. Haven't shipped yet. Need real feedback.
Built a Chrome extension that rewrites your prompt with one key, reads your full session context, works in every language on earth, works on every AI platform. Haven't shipped yet. Need real feedback.
"I hate having to rewrite the same prompt three times because the first one was too vague"
commentThis is actually a really smart idea. I hate having to rewrite the same prompt three times because the first one was too vague the every language thing is interesting. my first thought was "thats too broad" but then I read it again and I get what you mean. like sometimes I type half in english half in my native language without even noticing and most tools just break. if this actually handles that, thats a real problem solved not just a feature list quick question - how does it know what "properly structured" means for each platform? cause claude likes different prompt styles than chatgpt in my experience. does it adapt or just do a generic rewrite? the model suggestion thing is bold. I like it but also people get weirdly defensive about what model they use lol. might be a feature some love some hate for your questions: on the language thing - I'd actually lean into it harder. dont say "works in every language" say something like "type how you actually talk. even if its messy. even if its mixed. we figure it out." feels more specific somehow even tho its the same thing on local storage - screen recording of the extension actually working offline. no network requests firing. people trust a video more than a privacy policy on first 100 installs - niche subreddits where people complain about prompt engineering. r/LocalLLaMA, r/ClaudeAI, r/ChatGPTPro. not the main subs. comment helpfully for a week then do a "I got tired of rewriting prompts so I made this" post one concern - chrome extension review process is brutal sometimes. have you looked into what they require for "reads your full session context"? they might flag it as collecting data even if you dont store anything but yeah this is a legit problem. I'd try it. drop a link when you publish
"if this actually handles that, thats a real problem solved"
commentThis is actually a really smart idea. I hate having to rewrite the same prompt three times because the first one was too vague the every language thing is interesting. my first thought was "thats too broad" but then I read it again and I get what you mean. like sometimes I type half in english half in my native language without even noticing and most tools just break. if this actually handles that, thats a real problem solved not just a feature list quick question - how does it know what "properly structured" means for each platform? cause claude likes different prompt styles than chatgpt in my experience. does it adapt or just do a generic rewrite? the model suggestion thing is bold. I like it but also people get weirdly defensive about what model they use lol. might be a feature some love some hate for your questions: on the language thing - I'd actually lean into it harder. dont say "works in every language" say something like "type how you actually talk. even if its messy. even if its mixed. we figure it out." feels more specific somehow even tho its the same thing on local storage - screen recording of the extension actually working offline. no network requests firing. people trust a video more than a privacy policy on first 100 installs - niche subreddits where people complain about prompt engineering. r/LocalLLaMA, r/ClaudeAI, r/ChatGPTPro. not the main subs. comment helpfully for a week then do a "I got tired of rewriting prompts so I made this" post one concern - chrome extension review process is brutal sometimes. have you looked into what they require for "reads your full session context"? they might flag it as collecting data even if you dont store anything but yeah this is a legit problem. I'd try it. drop a link when you publish
Users who interact daily with AI models (ChatGPT, Claude, etc.) for tasks like content creation, coding, or analysis but find prompt refinement tedious, models fail on mixed-language input, and lack model selection guidance.
Multiple users complain about tedious rewriting and mixed-language failures, both explicitly called out as common and unsolved.
Unlike prompt template libraries or standalone optimizers, LinguaPrompt works in-place on any AI chat platform, understands mixed-language intent, and provides real-time model guidance without breaking user flow.
A Chrome extension that, with a single shortcut key, rewrites the user's rough prompt in-place using conversation context and user language patterns, producing an effective, model-optimized prompt, while recommending the best AI model for the task.
Quotes show deep frustration with rewriting prompts 3+ times and tools breaking on mixed languages; users explicitly call it a real problem, and existing workarounds cost significant time.
“Perfect prompts, one keystroke, any language.”
A Chrome extension that, with a single shortcut key, rewrites the user's rough prompt in-place using conversation context and user language patterns, producing an effective, model-optimized prompt, while recommending the best AI model for the task.
Launch on Product Hunt, target AI power user communities on Reddit (r/ChatGPT, r/aipromptprogramming, r/indiehackers), and share demo on X showing seamless mixed-language prompt optimization.
Changes to ChatGPT, Claude, or other platform UIs could break the extension's ability to read and rewrite prompts, requiring constant maintenance.
If model suggestions are outdated or inaccurate, users may ignore the feature, reducing perceived value.
Users may be uneasy granting an extension access to their full chat history, even for optimization, limiting adoption.
Mixed-language intent understanding may fail for rare dialects or code-switching patterns, hurting the core differentiator.
Run an Investment Memo to get a structured Go / No-Go verdict, competitor landscape, unit economics, and a 90-day validation roadmap for this opportunity.
Generate an investment memoThis opportunity scores well above the median for ideas surfaced by MonetScope, with a validation sub-score of 9/10 against 6 independently sourced evidence signals. A "strong" rating in this band typically means the pain signal is consistent and recurring across multiple discussions, but one of the three pillars (severity, willingness to pay, or competitor weakness) is somewhat softer than top-tier opportunities. Founders evaluating this should focus customer discovery on the softest pillar first — confirming the gap before committing engineering time to a build.
It sits at the intersection of "ai", "chrome-extension", "freemium", which makes it relevant to a specific subset of founders rather than a generic horizontal opportunity. SaaS opportunities at this stage tend to win on the strength of their initial wedge — a single workflow that the target user runs every week, where the existing solution is either spreadsheets, a clunky incumbent feature, or a manual process they hate. The build cost is moderate; the distribution cost is everything. The MonetScope pipeline surfaces this category alongside other saas signals, which is why it appears here rather than in a generic "trending ideas" feed.
Scores are derived from real forum discussions across Reddit, Hacker News and X, weighted by evidence volume and signal quality. How scoring works
MonetScope does not generate ideas from a language model's imagination. Every opportunity on this site is anchored to specific source posts and comments from real public discussions — typically on Reddit, Hacker News, or X — where actual users describe the pain in their own words. The AI's role is structuring, scoring, and grouping those signals into a navigable opportunity, not inventing the problem.
MonetScope's spider pipeline runs continuously and surfaces opportunities as new evidence accumulates. The "Updated" date in the header reflects the most recent re-scoring of this specific opportunity. Most saas opportunities visible in the public catalog draw from discussions in the last 30-60 days; older signals are de-prioritized because user pain shifts faster than most founders assume.
Overall score is a composite across six dimensions — pain, urgency, willingness to pay, market size, defensibility, and execution ease — designed to give a single number for triage. Validation score is narrower: it asks "how cleanly does the same signal repeat across independent sources?" An opportunity can score high on overall but lower on validation when one or two large discussions dominate the evidence; conversely, validation can be high on a smaller-overall idea where the signal is consistent but the addressable market is modest.
