Satflow

✦ Concept

Bitcoin transaction fee optimization API that automatically routes payments through the cheapest available layer (L1, Lightning, Liquid) based on real-time fee data and recipient capabilities. Businesses save 40-70% on Bitcoin transaction costs by letting our routing engine pick the optimal path for each payment.

Target

Bitcoin-native businesses processing 100+ transactions monthly (exchanges, mining pools, DeFi protocols, Ordinals marketplaces)

Revenue

0.1% fee on optimized transactions + $99/month API access. Average customer saves $2,000/month, pays us $200/month

💡 Why It Works

"Lightning solved Bitcoin's scaling problem but created a new problem: businesses now juggle multiple Bitcoin layers with wildly different fee structures, often overpaying by routing everything through L1 out of simplicity."

Score

78 /100

Originality 78

Feasibility 84

Potential 82

Cost $25k (dev salaries, infrastructure, initial partnerships)

Timeline 4 months

Team Bitcoin developer + backend engineer

Cons

×Lightning network liquidity constraints could limit routing options

×Regulatory uncertainty around programmatic Bitcoin routing services

✦ Branding Kit

Tagline

"Pay Bitcoin the cheapest way"

Name Ideas

Satflow

Layerwise

Routoshi

Domain Ideas

satflow.io

layerwise.co

routoshi.com

Startup Starter Guide

First Steps

Build fee monitoring dashboard for BTC L1, Lightning, Liquid using existing APIs

Create routing logic MVP that suggests cheapest path for test transactions

Partner with 3 Ordinals marketplaces as pilot customers to validate savings

Simple MVP

Python script with REST API that queries mempool.space, 1ML.com, Blockstream API, returns cheapest route recommendation for given transaction amount/destination

Growth Ops

↗ Expand to other UTXO chains (Litecoin, Dogecoin) with similar layer fragmentation

↗ White-label the routing engine for wallet providers and payment processors

Creative Twist

"The API learns each business's liquidity patterns and pre-positions funds across layers to minimize rebalancing costs — turning transaction routing into a predictive logistics problem"