B

AI Session File Recovery Diagnostics

3.45

Derivation Chain

Step 1 Proliferation of AI coding agents
→
Step 2 AI session data recovery tools
→
Step 3 Session file corruption pre-diagnosis service

Problem

Developers using AI coding agents like Claude Code, Cursor, and Copilot Workspace frequently lose work due to mid-session crashes or network disconnections. Since session files are in JSON/JSONL format, manual recovery takes 30 minutes to 2 hours, and it's difficult to identify which code changes were lost in partially corrupted files.

Solution

Monitors local AI agent session directories for real-time file integrity checks, automatically restoring to the most recent valid state upon detecting corruption. A diff viewer visualizes pre- and post-recovery changes, while periodic snapshots proactively prevent data loss.

Target: Developers using AI coding agents (Claude Code, Cursor, etc.) 4+ hours daily, especially Freelancers and Solo Entrepreneurs
Revenue Model: Basic recovery (manual trigger) Free, Pro (real-time monitoring + auto snapshots) ~$3.70/month per account, Team (5+ users) ~$2.90/month per user
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
4.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (77%)

Tech Complexity
32.0/40
Data Availability
25.0/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (50/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
7.5/15
Solo Buildability
5.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Backend [medium] Frontend [low]
Dashboard