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82score
r/selfhosted
Freemium
Build

Recipe Safety Validator for AI Outputs

Build a web app and browser extension that checks recipe instructions for implausible temperatures, timings, ingredient ratios, and appliance-specific risks before a user cooks. The strongest wedge is protecting beginners and cautious home cooks from bad AI-generated recipes rather than generating more recipes.

En hausse +80%5 canauxTendance des mentions sur 30 jours: latest 1, peak 4, 30-day series
Voir sur Reddit
Découvert 9 juin 2026

Pourquoi c'est important

You find a recipe online that looks polished, but you cannot tell whether the cooking logic is sound. If you are new to cooking, you may follow the instructions literally and only discover the problem after wasting ingredients or ruining a meal. Existing recipe sources optimize for volume and engagement, not for plausibility checks. A safety validator gives you a fast confidence layer before you preheat the oven or start a smart appliance, catching extreme temperatures, unrealistic durations, and suspicious combinations that a beginner would miss.

  • · Conçu pour Home cooks, beginner bakers, parents, and users of smart kitchen apps who want a second opinion before following online recipes.
  • · Monétisation la plus probable : Freemium.

La douleur · Récit

You find a recipe online that looks polished, but you cannot tell whether the cooking logic is sound. If you are new to cooking, you may follow the instructions literally and only discover the problem after wasting ingredients or ruining a meal. Existing recipe sources optimize for volume and engagement, not for plausibility checks. A safety validator gives you a fast confidence layer before you preheat the oven or start a smart appliance, catching extreme temperatures, unrealistic durations, and suspicious combinations that a beginner would miss.

Détail du score

Intensité du problème9/10
Volonté de payer5/10
Facilité de réalisation6/10
Durabilité7/10

Signal du marché

Tendance des mentions sur 30 joursPic : 4
Sparkline: latest 1, peak 4, 30-day series
Canaux couverts
productivityindiehackersselfhostedChatGPTself hosted

Mise sur le marché

Utilisateur cible exact

Beginner home cooks who use AI chat tools or search engines to discover recipes and want a quick safety check before cooking.

Nombre d'utilisateurs estimé

A few hundred thousand reachable early adopters globally

Canal d'acquisition principal

SEO long-tail

Ancre de prix

$8/month

Premier jalon

500 weekly active users and 30 paying subscribers from recipe-check landing pages within 30 days

Périmètre MVP · 1–2 semaines

Semaine 1
  • Define rule set for oven temperature, cook time, and ingredient sanity checks
  • Build a simple text input web form for recipe paste and analysis
  • Implement a parser that extracts ingredients, steps, temperatures, and durations
  • Create warning labels with severity levels and plain-language explanations
  • Launch a landing page with waitlist and 3 example scans
Semaine 2
  • Add support for recipe URL import and automatic text cleanup
  • Implement appliance-specific checks for baking, slow cooking, and pressure cooking
  • Build a browser extension that scans visible recipe pages
  • Add user feedback buttons for false positive and false negative reporting
  • Enable subscription checkout and usage limits for free tier
Fonctions MVP: Paste-or-import recipe safety scan · Temperature and time plausibility checks · Ingredient ratio and missing-step detection · Appliance-aware warnings and beginner mode

Différenciation

Solutions existantes
AI recipe sitesOxiCloud
Notre angle
Users want software that helps them evaluate trustworthiness before consuming AI-generated instructions or deploying AI-generated software, rather than more generators.

Pourquoi cela pourrait échouer

Auto-contre-argument — le signal de confiance le plus important

  1. 1Most users may treat recipe mistakes as rare annoyances rather than a paid problem, limiting conversion.
  2. 2Recipe websites or AI assistants could add similar validation natively and erase differentiation.
  3. 3Accuracy is difficult: too many warnings make the tool feel noisy, while too few undermine trust.

Résumé des preuves

Comment l'IA a synthétisé cet aperçu — pas de citations textuelles

The discussion repeatedly focused on AI-generated recipes being unreliable, with several comments highlighting bad cooking guidance and the danger for inexperienced users. The strongest pattern was not demand for more recipe generation, but demand for a safety layer that catches implausible instructions before food is wasted. Multiple remarks also emphasized that beginners lack the judgment to detect issues unaided.

1 1 publication analysée5 5 canauxAI · Synthétisé par IA · pas de citations

Plan d'Action

Validez cette opportunité avant d'écrire du code

Prochaine Étape Recommandée

Construire

Signaux de demande forts. Vraie douleur et volonté de payer détectées — commencez à construire un MVP.

Kit de Textes pour Landing Page

Textes prêts à coller, basés sur le langage réel de la communauté Reddit

Titre Principal

Recipe Safety Validator for AI Outputs

Sous-titre

Build a web app and browser extension that checks recipe instructions for implausible temperatures, timings, ingredient ratios, and appliance-specific risks before a user cooks. The strongest wedge is protecting beginners and cautious home cooks from bad AI-generated recipes rather than generating more recipes.

Pour Qui

Pour Home cooks, beginner bakers, parents, and users of smart kitchen apps who want a second opinion before following online recipes

Liste des Fonctionnalités

✓ Paste-or-import recipe safety scan ✓ Temperature and time plausibility checks ✓ Ingredient ratio and missing-step detection ✓ Appliance-aware warnings and beginner mode

Où Valider

Partagez votre landing page sur r/r/selfhosted — c'est exactement là que ces points de douleur ont été découverts.

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Questions fréquentes

Qui rencontre ce problème ?
Home cooks, beginner bakers, parents, and users of smart kitchen apps who want a second opinion before following online recipes
Est-ce une réelle opportunité ?
Cette opportunité obtient un score de 82/100 selon la métrique composite de Pain Spotter (intensité du problème, propension à payer, faisabilité technique et viabilité). Validez-la davantage avant d'y consacrer du temps de développement.
Comment dois-je la valider ?
Menez 5 entretiens de découverte client avec le public cible, publiez une landing page avec une liste d'attente, et vérifiez l'activité récente sur le post source lié avant de commencer le développement.