Evening GNSS outage forecasts for Indian survey and drone crews
TL;DR Glintcast runs a network of cheap receivers across India and tells survey firms, drone operators and machine-guided farms, district by district, when satellite positioning will go wobbly after sunset. Customers pay a monthly subscription. It works because India's real problem is a nightly, local one that global storm alerts simply don't cover.
India sits right under the equatorial ionisation anomaly. After sunset, bubbles in the upper atmosphere make satellite signals flicker, which is called scintillation, and receivers lose lock and centimetre-grade positions fall apart. Studies near the anomaly crest in West Bengal found that the timing, length and depth of these fades differed noticeably between stations only about one degree of latitude apart[1].
That patchiness is the whole problem.
A survey crew, a drone mapping team or a machine-guided harvester can't tell from a national bulletin whether its own district will get hit at 8 p.m. When a fix fails mid-job, the crew repeats the work or packs up. In the US, farms hit by the May 2024 storm lost about US$17,000 each (about ₹16 L)[2].
First, the regulatory bit - Glintcast is an information service only. It does not control any equipment and it doesn't guarantee positioning accuracy.
Glintcast puts multi-frequency receivers at 10–15 sites, mostly on partner rooftops in the scintillation belt, and each one measures signal flicker and ionospheric delay every second. Software turns that into a live map and a short-range forecast for each district - green, amber or red for precise positioning over the next few hours. Customers get a chat-app or app alert before a red window and a log afterwards, which comes in handy when you have to explain a failed job to a client.
I reframed the seed here. It pitched AI forecasts of local space-weather impact, built around big solar storms. But a global study of about 500 stations found that storm intensity barely changed positioning errors at low latitudes, while high latitudes took the beating[3]. For India the frequent, costly problem is the evening flicker, so that's what Glintcast forecasts. Big storm alerts come free from NOAA and get passed through as a bonus.
The users are crew leads and drone pilots. The payers are owners of survey firms, drone-mapping companies and precision-farming contractors, who lose a day's billing when a night job fails. Firms building highways, pipelines and land records are a second tier. No Indian price exists for a scintillation service, so test a flat monthly fee per company against the cost of one repeated field day.
The current solar cycle has been an active one, and the May 2024 storm made headlines for GPS-guided tractors[2]. India launched Aditya-L1 in September 2023 to study the Sun and space weather[4], which helps public interest. Multi-frequency receivers have also become cheap enough that a startup can afford its own network.
There's no public figure for what Indian survey and drone firms lose to scintillation, or what they'd pay to avoid it. The closest thing is adjacent - the average US$17,000 loss per affected US farm in one storm shows that positioning failures cost real money[2]. NOAA rates severe storms that degrade navigation for hours at about 100 per 11-year cycle[5].
Treat both as context. The Indian number has to come from customer interviews.
NOAA's Space Weather Prediction Center issues free global storm scales and alerts[5], but not district-level evening forecasts for India. ISRO's Aditya-L1 is a science mission, not a commercial service[4]. Indian universities run scintillation stations for research[1]. I found no Indian company selling a live scintillation forecast, though the search was limited, so check again before you start.
| Difficulty | Moderate (46/100) |
| Starting capital | ₹60 L–1.2 Cr |
| Time to launch | 6–9 months |
Measuring scintillation is solved science. Forecasting it a few hours ahead with useful accuracy is harder, and you need a full season of your own data to prove it. Selling is the bigger test though, because crews may write failures off as bad luck rather than pay to avoid them.
As far as I can tell, no sector licence applies to receive-only measurement, so this mostly runs on the baseline.
Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.
Don't trust a model's forecast until it has beaten a simple "evenings in season are risky" rule on your own data. Customers will drop you fast after a few wrong red windows.
Want to work out the AI layer for Glintcast? Talk to Yash →
Here's what can go south -
I'd back this for a founder with an ionospheric physics or geodesy background who also knows how survey and drone businesses run. If you're expecting a big market quickly then look elsewhere, because this is a niche service and it is going to stay one for a while. Before anything else, prove that three firms can name a job they lost to evening signal trouble in the last quarter.
Plan for roughly ₹60 L–1.2 Cr over 6–9 months, covering 10–15 receiver sites, the forecasting software and a season of data collection.
Probably not for receive-only measurement, but confirm with a telecom lawyer and ask IN-SPACe if you plan to resell satellite data. Company registration, GST and DPDP compliance apply as usual.
Yes, in other low-latitude regions where evening flicker is common. Higher latitudes have a different problem, mostly driven by storms.
The free Glintcast validation kit has the line-by-line capital breakdown, the effort scoring, the rules checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for survey and drone firms, and 5 assumptions to test. Download the kit →
Thinking about building Glintcast or something close to it? The make-or-break work is showing that your forecasts beat chance and that a field crew will actually change its plans because of them. That's the kind of thing I help founders test. If you need a hand, you know where to find me. Talk to Yash →
For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.