Every agent runs 100% on your local GPU — Ollama, LM Studio, Jan, or any OpenAI-compatible server. No API keys, no cloud calls, no monthly bill. Your code and ideas never leave your machine.
The core of AppStudio. A 7-step streaming pipeline that dissects any app idea from every angle — market size, competition, revenue models, risk, and a final BUILD / VALIDATE / PIVOT verdict. Each step feeds context to the next so nothing is assessed in isolation.
Plan & Hypothesis — Breaks the idea into 4 research questions and defines the core hypothesis before any analysis runs.
Market + Competition + Revenue + Risk — Four sequential steps, each reading the previous output to build a compounding picture.
Verdict + Mitigation — Synthesises all steps into viability / revenue / effort scores, a final verdict, and per-risk mitigation strategies with effort ratings.
Searches Reddit and Hacker News for real people talking about the problem your idea solves. No paid APIs. No hallucination. AI-targeted community search with keyword-overlap filtering returns a 0–100 demand score backed by actual posts — not guesses.
AI Search Plan — LLM generates problem-space queries, identifies the most relevant subreddits (e.g. r/cscareerquestions, r/recruitinghell), and extracts domain keywords for relevance filtering.
Targeted + Global Search — Searches within specific communities (restrict_sr=1) for high-precision results, plus broad global search. Noise subreddits blocked. Posts must contain domain keywords in title or they're dropped.
LLM Synthesis — Reads all filtered posts, weights targeted community results more heavily, and returns a structured demand report with pain points, key insight, and recommendation.
Generates a full 4-phase roadmap the moment you're ready to build — concrete tasks, time estimates, and a critical path. Then runs daily coaching sessions that read your actual progress and give you a single next action instead of a wall of advice.
Roadmap Generation — Produces 4 phases (Foundation → Core → Polish → Launch) with 3–6 tasks each, estimated days, and critical-path flags.
Task Tracking — Check tasks done inside the app. The agent reads completion state before every coaching session.
Daily Coaching — Health status (on-track / at-risk / stalled), today's focus, blockers, encouragement, next milestone. Always contextual.
Point it at your source directory. It reads your actual files — not a description of them — then generates bug fixes, new features, and complete scaffolds with unified before/after diffs. Nothing writes to disk until you approve it.
Code Review — Scans real files, generates up to 15 findings: bugs, security holes, quality issues — each with a unified diff.
Feature Generation — Describe a feature in plain English. The agent writes code across multiple files with before/after diffs for each.
Approve & Write — Review diffs in the UI. Click Approve and the change writes to disk. Reject with a reason and it's discarded. You stay in control.
Runs two scan tracks — penetration testing and compliance — across your actual source code. Findings stream in as each category completes so you can navigate away and come back to results. Hit Auto Fix on any finding and the AI generates a reviewed code patch, ready to approve in the Build tab. Cross-project Security Overview shows your full exposure at a glance.
Pentest Track — OWASP Top 10, Auth & Access, Injection, Hardcoded Secrets, API Security, Cryptography, Configuration. Pick any combination.
Compliance Track — GDPR data-handling review, OWASP ASVS Level 1, and General Security Hardening. Each framework runs as a focused prompt.
Auto Fix + Finding Management — One click generates a code patch diff for any finding. Review and approve in the Build tab. Each finding tracks severity (critical → info), CWE code, file location, and status: Open → Acknowledged → Fixed → False Positive.
Generates a complete SEO package from your product description — ready to drop into your site's <head>. No keyword tools, no subscriptions, no guessing. Your actual product drives every output.
Tag Generation — Meta title (under 60 chars), meta description (under 160 chars), Open Graph, Twitter Card — all crafted for click-through, not just keyword density.
Structured Data — JSON-LD schema markup (SoftwareApplication or Product type) ready to paste into your HTML for rich results.
Keyword + Wins — Primary keywords, 5+ long-tail phrases, page speed checklist, and 3 actionable quick wins ranked by impact.
Journalist-ready press materials in seconds. No PR agency, no template downloads. The agent understands your product angle and writes copy that fits how reporters actually think — story first, product second.
Story Angles — 3 distinct angles with outlet-fit suggestions (e.g. "solo dev beats Big Tech — angle for TechCrunch, not just product blogs").
Ready-to-Send Copy — 5 suggested headlines, boilerplate paragraph, founder bio template, and embargo/exclusivity language block.
Assets Checklist — Media contact block and a prioritised list of logos, screenshots, and demo assets you need to prepare.
A full 9-week launch campaign — not a generic checklist, but a week-by-week schedule with actual post copy, channel priorities ranked for your specific product type, and a launch-day hour-by-hour timeline.
Pre-launch (Weeks 1–4) — Build-up posts for each channel with specific copy, teaser strategies, and waitlist / early-access tactics.
Launch Day (Week 5) — Hour-by-hour schedule: when to post on HN, Product Hunt, Reddit, social — optimised for upvote velocity.
Post-launch (Weeks 6–9) — Momentum tactics, re-engagement posts, case-study angles, and community follow-up sequences.
Platform-native posts for every community you need to hit — each one written in the voice and format that community actually responds to. Not a template swapped with your product name. Real copy, real tone, real norms.
Hacker News — "Show HN:" post with the correct framing, technical credibility signals, and no marketing fluff that triggers downvotes.
Reddit — Posts for r/SideProject, r/entrepreneur, and r/indiehackers — each tuned for that sub's rules, tone, and what gets upvoted vs. removed.
Product Hunt + IH + Discord — PH hunter message, Indie Hackers milestone post, and Discord server intro — all ready to customise and post.
Two modes — live web scan or AI-powered strategic analysis. Web Scan pulls real pricing, review sentiment, and feature data from competitor sites. AI Intel goes deeper: weaknesses, attack vectors, comparison tables, and threat level ratings.
Web Scan Mode — Enter a competitor URL. The agent fetches live data: pricing pages, review snippets, feature lists, and key messaging signals.
AI Intel Mode — No URL needed. Describe the competitor and get instant strategic analysis: feature gap map, identified weaknesses, and where you can win.
Attack Vectors — Specific ways to position against each competitor, with a threat matrix (Low / Medium / High / Critical) for your product category.
A cross-project weekly digest that reads every idea in your vault — not just one — and synthesises your entire portfolio into a single decision-support document. Tells you where to focus, what to kill, and what's quietly stalling.
Portfolio Health Scan — Reads all active ideas: statuses, task completion rates, revenue logged, hours invested, last-touched timestamps.
Kill-Watch & Focus Rank — Surfaces ideas going stale with a kill-watch flag. Ranks all active projects by momentum and ROI potential for the coming week.
Coaching Paragraph — A personalised weekly coaching note: what's going well, where you're drifting, and one concrete focus for the next 7 days.
Your local AI memory. Upload docs, paste notes, or point the agent at files on disk. BM25 keyword search finds the right chunks. RAG-powered Q&A answers questions with grounded citations. Entirely on-device — no cloud embeddings, no OpenAI API, no data leaving your machine.
Ingest — Upload PDFs, paste text, or link local files. Content is chunked and indexed for fast retrieval without any embedding API.
Search — BM25 full-text search returns the most relevant chunks instantly. No vector database required — everything runs in SQLite.
Q&A — Ask questions in plain language. The agent retrieves relevant chunks and answers with source citations so you know exactly where the answer came from.
Paste your dev notes or point at a git log and get a complete release package ready to ship. No more staring at a blank GitHub release page or botching the user-facing announcement email.
Version Analysis — Reads your changes and recommends the right semantic version bump (patch / minor / major) with a brief rationale.
Release Package — Generates a GitHub release body in markdown, a tweet-length announcement, and an email to existing users — in three different tones.
Changelog Entry — A structured CHANGELOG.md entry with Added / Changed / Fixed / Security sections, ready to paste.
Pricing is the highest-leverage decision a solo dev makes — and the one most often botched. This agent analyses your market position, proposes 2–3 tier designs with conversion hooks, runs revenue forecasts across three scenarios, and generates payment-stack code stubs for FastAPI + React.
Pricing Model Analysis — Evaluates one-time vs. subscription vs. usage-based for your specific product, market, and customer type.
Tier Design — 2–3 pricing tiers with feature-gate recommendations, psychological anchoring, and conversion hook copy for each tier.
Revenue Forecasts + Code — Conservative / base / optimistic MRR projections, and working FastAPI + React payment integration stubs you can build on immediately.
Most pitch decks fail because they ignore who's reading them. This agent researches a target investor's portfolio, thesis, and past deals, then rewrites your pitch narrative to speak directly to their priorities — not a generic template, a tailored argument for why this deal fits their specific worldview.
Investor Research — Pulls public information on portfolio companies, thesis statements, fund stage/sector focus, and recent notable deals to build an investor profile.
Thesis Alignment Analysis — Maps your idea's market, revenue model, traction signals, and founder story against the investor's known preferences and investment patterns.
Personalised Pitch Narrative — Rewrites your problem, solution, traction, and ask sections using language and framing that resonates with this specific investor's decision lens.
Decision paralysis kills more indie projects than bad code. Idea Battle pits 2–6 of your ideas head-to-head across six dimensions and returns a ranked leaderboard with a clear winner, explicit kill recommendations, and head-to-head insights — so you stop spinning and start building the right thing.
Select 2–6 Ideas — Pick any ideas from your vault. The agent pulls their full analysis context, problem statement, market data, and revenue estimates automatically.
6-Dimension Scoring — Each idea is scored across: Market Opportunity, Revenue Potential, Execution Ease, Competitive Moat, Time-to-First-Dollar, and Solo Dev Fit. All scores are justified with reasoning.
Winner + Kill List — A ranked leaderboard declares the winner with a battle summary. Underperforming ideas get explicit kill recommendations so you can archive them without guilt.
Every agent runs on your GPU. Your code, your ideas, your data — never leaves your machine.