Resilience dashboards for distributed solar in conflict zones
Build a lightweight monitoring and resilience-planning tool for households, small businesses, and municipalities using distributed solar and battery systems in conflict or grid-instability zones: a dashboard that aggregates output from home inverters and battery systems, predicts outage windows from grid-stress signals, and recommends load-shedding schedules. Sell to European and Ukrainian solar installers, energy co-ops, and NGOs equipping resilience hubs.
What to build
A dashboard for solar installers, energy co-ops, and NGOs that aggregates data from home inverters and batteries, predicts grid outage windows from stress signals, and auto-generates load-shedding schedules for households and resilience hubs.
Distributed solar-plus-storage has become a real resilience layer against grid attacks in Ukraine, creating demand for software that helps installers and co-ops monitor and plan around outages rather than just install hardware.
Demand
Ukrainian and EU solar installers, energy co-ops, and NGOs equipping resilience hubs want visibility into fleet-wide battery/inverter health and outage timing now that distributed power is treated as critical infrastructure, not a backup convenience.
- Hacker NewsNews
In Ukraine, distributed renewables foil Russia's assaults — 165 points, 188 comments on HN; high engagement at the source.
- Analyst synthesis (unspecified historical reporting)News
Energy co-ops and NGOs in Ukraine and neighboring EU states have been equipping shelters and critical facilities with distributed solar-plus-storage systems specifically as a resilience measure against grid attacks.
Stack
- Supabase
- Grafana
- MQTT
- Home Assistant API
- Solar inverter APIs (SolarEdge, Victron VRM, Growatt)
- Twilio/Telegram Bot API for alerts
Solo + AI difficulty
Easy part: pulling data from common inverter/battery APIs and building a monitoring dashboard is well-trodden ground for a solo dev with AI help, MVP in 3-6 weeks. Hard part: getting reliable outage-prediction signal and reaching real installers/co-ops in Ukraine for integration access and trust.
- Entry threshold
- A solo builder can prototype this with existing inverter/battery APIs (Growatt, Victron, Deye, SolarEdge) and open outage-data feeds in a few weeks; distribution depends on partnering with installers or NGOs, which raises the practical barrier above a pure self-serve SaaS.
- Window
- 6-12 months
Where to find first users
- Direct outreach to Ukrainian and EU solar installer networks
- Energy co-op and NGO resilience-hub mailing lists
- r/solar and r/UkraineRenewables-style communities
- Product Hunt launch targeting energy/resilience tech
Competitors
Counter-signals & risks
Distributed solar and battery adoption in Ukraine may be driven by general grid unreliability and cost factors rather than being a deliberate, attack-specific resilience strategy, weakening the causal claim.
Sample size and attribution are weak: no controlled comparison exists between regions with and without distributed renewables to confirm reduced blackout impact specifically from solar adoption.
The commercial opportunity assumes exportability of this resilience model to other European markets, but regulatory, grid interconnection, and market conditions in stable EU countries differ substantially from wartime Ukraine, limiting direct transferability.
Original title: In Ukraine, distributed renewables foil Russia's assaults
Related signals
- Data & analytics#3
Swipe-based willingness-to-pay testing for indie makers
Build a rapid pre-launch validation tool for indie makers that goes beyond a basic yes/no survey: a swipe-style deck with conditional follow-ups (price for yes-voters, objection for no-voters), segmented by role and traffic source. Differentiate from the existing iwouldpay.dev by adding an embeddable widget for landing pages, pooled cross-niche pricing benchmarks, or integrations with Product Hunt and indie hacker launch flows.
Demand6/10est.Buildability9/10est.Competition8/10est.via Reddit11 competitor - Data & analytics#6
Schema-aware natural language BI for small teams
Build a natural-language BI wrapper for small business teams: connect to Snowflake, Postgres and Airtable, let users ask plain-English questions and get charts or saved dashboards back, with a schema-aware context layer (table/column descriptions, relationships, business glossary) so the LLM stops hallucinating joins. Sell as a lightweight Retool/Lovable alternative aimed specifically at teams who find existing tools too generic or too hard to keep accurate.
Demand6/10est.Buildability6/10est.Competition5/10est.via Reddit44 competitors - Data & analytics#1
Analytics dashboard for AI crawler traffic
Build an AI-crawler analytics dashboard for website owners that logs server-side requests from Claude, ChatGPT, Perplexity and other LLM bots (invisible to JS-based tools like Google Analytics), showing which pages get crawled, how often, and how much referral traffic each AI assistant sends back. Target content sites, SaaS marketing teams and SEO agencies who want to understand and optimize for AI-driven discovery.
Demand7/10est.Buildability8/10est.Competition8/10est.via Reddit11 competitor