Sup HN,So I got tired of bouncing between Flightradar, MarineTraffic, and Twitter every time something kicked off globally, so I wrote a dashboard to aggregate it all locally. It’s called Shadowbroker.I’ll admit I leaned way too hard into the "movie hacker" aesthetic for the UI, but the actual pipeline underneath is real. It pulls commercial/military ADS-B, the AIS WebSocket stream (about 25,000+ ships), N2YO satellite telemetry, and GDELT conflict data into a single MapLibre instance.Getting this to run without melting my browser was the hardest part. I'm running this on a laptop with an i5 and an RTX 3050, and initially, dumping 30k+ moving GeoJSON features onto the map just crashed everything. I ended up having to write pretty aggressive viewport culling, debounce the state updates, and compress the FastAPI payloads by like 90% just to make it usable.My favorite part is the signal layer—it actually calculates live GPS jamming zones by aggregating the real-time navigation degradation (NAC-P) of commercial flights overhead.It’s Next.js and Python. I threw a quick-start script in the releases if you just want to spin it up, but the repo is open if you want to dig into the backend.Let me know if my MapLibre implementation is terrible, I'm always looking for ways to optimize the rendering.
FL score
out of 100
Verdict
high confidence
Competition
6
competitors found, emerging market, funded players
Trend
4 community mentions
A real-time, locally deployed OSINT dashboard for independent analysts, offering high performance and unique features like GPS jamming detection, as a cost-effective alternative to expensive enterprise tools.
The pain
The gap
Build angle
Strengths
Questions about this idea?
FlyBot reads the scoring and gives you a second opinion on “I built a real-time OSINT dashboard pulling 15 live global feeds”.
Risks
Next steps
Fly Labs Method
Is the pain real, is there a gap, is it the right time, can one person build it.
This idea solves a very real and specific pain for a niche audience with an already-built, performant solution. The market is competitive but the local, customizable, open-source approach carves out a defensible niche, especially with its unique features.
Value Equation
Dream outcome and how likely it feels, against the time and effort it costs.
This idea has strong market viability with high value, excellent market timing, and a unique differentiator, making it highly attractive from a profit perspective, assuming a clear monetization path for the open-source base.
One-Person Business
Curiosity pull, identity fit, and a path from free value to paid for a solo creator.
This idea demonstrates excellent problem and creator fit, with a clear, specific niche and high potential for building a focused community around its unique features, though monetization needs to be formalized.
Viral Frameworks
Hook strength, shareability, and how cheaply it can be tested.
This micro-SaaS has a clear target audience, strong value proposition, and established distribution channels for an open-source product. The key challenge will be defining and validating a sustainable business model to monetize the existing solution.
Builder Lens
Evidence the problem exists, timing, defensibility, and a model that fits on a napkin.
Shadowbroker solves a critical, growing problem for a specific user with a functional product that demonstrates strong insights and a clear path to initial adoption, positioning it well for future relevance.
Why this verdict
Five lenses, one composite. How scoring works
The angle
This weekend
Who is already there, emerging market
An AI-enabled data solution for global defense, international intelligence, and law enforcement organizations that integrates and analyzes near-real-time data.
Pricing: Starts from $68.00/month. Perpetual software licenses may be priced by CPU core, with Palantir Gotham at $141K per core. Pilot software licenses are priced on a term basis, and organization licenses are priced per annum. Usage-based pricing and various support levels are also available.
An incident detection solution that helps businesses analyze and mitigate high-impact global events and risks using AI technology to process multi-format data.
Pricing: Not publicly disclosed. One user subscription for Dataminr First Alert is $30,000.00 for a 12-month contract.
A media intelligence and social listening platform that tracks brand mentions across news and social media.
Pricing: Not publicly disclosed; custom pricing based on goals, modules, and scale. Basic 1-user subscriptions start around $7,000 per year, with average subscriptions between $15,000-$20,000/year, and enterprise plans over $40,000/year. Annual contracts are standard.
Provides a maritime AI platform for risk management, combining AI with maritime expertise.
Pricing: Windward Core Flex is $605.00 (On Premise), Windward Core Pro is $547.00 (On Premise), Windward Hub Standard is $19.00 (Cloud), Windward Hub Premium is $49.00 (Cloud), and Windward Hub Enterprise offers custom pricing (Cloud). Annual payments receive a 15% discount, and quarterly payments a 10% discount for Windward Core. Custom quotes are provided based on business needs.
Deploys unmanned surface vehicles (USVs) for ocean data collection, maritime domain awareness, and national security efforts.
Pricing: Saildrones cost ~$2,500/day for data collection on a mission-as-a-service basis, with multi-year subscriptions available for defense customers. A 3% discount is offered on orders of 10+ USVs for 90 Mission Days or more.
A social media search tool specializing in location-based data from social media posts for corporate security, public safety, media, journalism, and marketing teams.
Pricing: Not publicly disclosed. Requires contact for pricing.
What they charge
What people say, 4 mentions
We just launched InsForge 2.0: an open source backend built for AI coding agents
r/SaaS
I got 9 paying subs in 4 days, then lost my entire distribution channel overnight. Here's what I'm doing about it.
r/SaaS
I kept forgetting birthdays and anniversaries, so I built an Android app to fix it — here's what I've learned so far
r/SaaS
🚀 congviec.me Just Leveled Up: Agentic AI Now Auto-Scores Projects, Tasks & Costs!
r/SaaS
Recent news
Shadowbroker: dashboard OSINT en tiempo real
El Ecosistema Startup, March 08 2026
ShadowBroker: How Open-Source Intelligence Layers Turn Raw Signals Into Analyst Findings
Medium (by Alborz Nazari), March 20 2026
ShadowBroker is a real-time, multi-domain OSINT dashboard that aggregates live data from dozens of open-source intelligence feeds and renders them on a unified dark-ops map interface.
Reddit, March 12 2026
Show HN: Real-time OSINT Dashboard with 15 Live Global Feeds
AIToolly, March 08 2026
GitHub - BigBodyCobain/Shadowbroker: Open-source...
daily.dev, March 08 2026
Market signals
The Open Source Intelligence (OSINT) market is a large and rapidly growing market. It was valued at approximately $11.65 billion in 2025 and is projected to reach $99.32 billion by 2035, growing at a CAGR of 23.9% from 2026-2035. The growth is driven by increasing cybersecurity threats, the proliferation of public digital data sources, and the rising demand for real-time intelligence insights. AI and machine learning are increasingly integrated into OSINT solutions for faster analysis and proactive threat detection. North America is currently the largest market, with Asia-Pacific expected to be the fastest-growing region.
What frustrates people
Last summer we faced a conundrum at my company, Tiger Data, a Postgres cloud vendor whose main business is in timeseries data. We were trying to grow our business towards emerging AI-centric workloads and wanted to provide a state-of-the-art hybrid search stack in Postgres. We'd already built pgvectorscale in house with the goal of scaling semantic search beyond pgvector's main memory limitations. We just needed a scalable ranked keyword search solution too.The problem: core Postgres doesn't provide this; the leading Postgres BM25 extension, ParadeDB, is guarded behind AGPL; developing our own extension appeared daunting. We'd need a small team of sharp engineers and 6-12 months, I figured. And we'd probably still fall short of the performance of a mature system like Parade/Tantivy.Or would we? I'd be experimenting long enough with AI-boosted development at that point to realize that with the latest tools (Claude Code + Opus) and an experienced hand (I've been working in database systems internals for 25 years now), the old time estimates pretty much go out the window.I told our CTO I thought I could solo the project in one quarter. This raised some eyebrows.It did take a little more time than that (two quarters), and we got some real help from the community (amazing!) after open-sourcing the pre-release. But I'm thrilled/exhausted today to share that pg_textsearch v1.0 is freely available via open source (Postgres license), on Tiger Data cloud, and hopefully soon, a hyperscalar near you:https://github.com/timescale/pg_textsearchIn the blog post accompanying the release, I overview the architecture and present benchmark results using MS-MARCO. To my surprise, we were not only able to meet Parade/Tantivy's query performance, but exceed it substantially, measuring a 4.7x advantage on query throughput at scale:https://www.tigerdata.com/blog/pg-textsearch-bm25-fu
AI
Hi HN!I recently switched from a Fedora/GNOME laptop to a MacBook Air. My old setup served me well as a portable workstation, but I’ve started traveling more while working remotely and needed something with similar performance but better battery life. The main thing I missed was a simple taskbar that shows the windows in the current workspace instead of a Dock that mixes everything together.I built boringBar so I would not have to use the Dock. It shows only the windows in the current Space, lets you switch Spaces by scrolling on the bar, and adds a desktop switcher so you can jump directly to any Space. You can also hide the system Dock, pin apps, preview windows with thumbnails, and launch apps from a searchable menu (I keep Spotlight disabled because for some reason it uses a lot of system resources on my machine).I’ve been dogfooding it for a few months now, and it finally felt polished enough to share.It’s for people who like macOS but want window management to feel a bit more like GNOME, Windows, or a traditional taskbar. It’s also for people like me who wanted an easier transition to macOS, especially now that Windows feels increasingly user-hostile.I’d love feedback on the UX, bugs, and whether this solves the same Dock/Spaces pain for anyone else.P.S. It might also appeal to people who feel nostalgic for the GNOME 2 desktop of yore. I started my Linux journey with it, and boringBar brings back some of that feeling for me.
AI
### Describe the project you are working on Godot C# bindings ### Describe the problem or limitation you are having in your project For the past weeks, I've been discussing with several Unity users intending to move to Godot C# regarding dealing with the C# garbage collector. The most common complaint I hear from users is that, in Unity, allocations can trigger unexpected GC spikes into the game. In Godot, we target to make all of the high performance APIs (those that intended to be called every frame) not allocate any memory, so theoretically the GC should not be a problem. Additionally, Godot starting from 4.0, uses the Microsoft CoreCLR version of .net, which also supposedly has a better garbage collector than Unity. But in all, after several discussions with Unity users, neither is enough reassurance for them, and they would really feel safer if Godot exposed a zero allocation API. ### Describe the feature / enhancement and how it helps to overcome the problem or limitation The idea of this proposal is that Godot exposes zero allocation versions of many functions in the C# API, that users can use if they desire. Technically, this could be done from the binding generator itself, without breaking compatibility, and without doing any modification to Godot itself. ### Describe how your proposal will work, with code, pseudo-code, mock-ups, and/or diagrams **WARNING** I am not familiar with C#, so take this as pseudocode. Imagine you have two functions exposed as to C#: ```C# void MyClass.SetArray( Vector2[] array); Vector2[] MyClass.GetArray(); ``` This works and is pretty and intuitive. However, it has two problems: * GC is allocated on return * Memory is copied to Godot native formats every time there is a call. The idea is to add NoAlloc versions, which can be generated directly by the binder automatically when required: ```C# void MyClass.SetArrayNoAlloc( Godot.Collections.PackedVector2Array array); void MyCl
AI