Predict, track, and accelerate your insurance claims with collective intelligence.
Small business owners and indie hackers endure months-long claims processes that cripple their cash flow and force unaffordable downtime.
ReclaimIQ aggregates anonymized claim data from users to predict reimbursement timelines and success rates per insurer. It provides optimized filing advice, automated nudges, and community-voted escalation strategies. Users contribute data for smarter future claims, solving systemic delays collaboratively.
Indie hackers and small business owners dependent on quick reimbursements for cash flow stability
Crowd-sourced data moat offers 85% accurate predictions vs generic tools, with gamified contributions for fresh intel.
edgy and empowering
Enter details; get timeline/success forecast based on similar claims.
Step-by-step optimized instructions per insurer.
Custom auto-emails to insurers with proven scripts.
Browse similar claims' outcomes anonymously.
Log updates to contribute to dataset and get alerts.
Gamify contributions with badges.
Download reports for disputes.
Public ratings from data.
For power users.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| points | int | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| insurer | text | No |
| claim_type | text | No |
| status | text | No |
| duration_days | int | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| claim_details_hash | text | No |
| predicted_days | int | No |
| confidence | int | No |
Relationships:
/api/predictGet claim prediction
/api/claimsLog new tracked claim
/api/claims/:id/updateUpdate claim status
/api/nudges/:claimIdSend nudge
/api/insightsPublic aggregated data
3 predictions/mo
None
High volume
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 250 | 2.5% | $94 | $1,128 |
| Month 6 | 1,500 | 7% | $1,575 | $18,900 |
Know exactly when you'll get paid – contribute data, get smarter claims.
Share MVP predictor on r/insurance and Indie Hackers; Cold email small biz from LinkedIn claims complaints; Incentivize data contrib with free Pro.
Appraisal tech
No predictions/community
Affordable, data-driven intel for solos
Data flywheel: more users = better predictions = more users.
Explosion of claim data + open AI for quick analytics.
Prediction accuracy low initially
Seed with public data + disclaimers
Data privacy fears
Anon aggregation + GDPR compliance
Slow data accumulation
Viral contrib incentives
Success: Build baseline model
Success: >70% accuracy
Success: Model improves 20%
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