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Load Nova

An AI co-pilot and dashboard built for dispatcher speed

Productivity
SaaS
Operations
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Hunted byAnton MironovAnton Mironov

One workspace for dispatchers. Less tab switching. Smarter freight. Load Nova is a Chrome side panel and Dashboard that lives next to your load board. Parse broker emails, calculate real RPM & profit, plan routes with live weather — end-to-end in under 3 minutes. No tab switching. Key features: Unified dispatch dashboard AI-assisted load planning Driver and load management Route & HOS awareness Email and workflow automation Real-time operational insights Work inside ChatGPT

Top comment

Hey Product Hunt! 👋

I'm Anton, one of the founders of @Load Nova

The more we talked to dispatchers, the more we kept seeing the same thing: dozens of browser tabs, endless copy-pasting, and constant context switching.

Freight moves fast. And in this industry, speed isn't just convenience - it's money. Every minute spent looking for information is a minute not spent making decisions, helping drivers, or booking the next load.

We honestly believe dispatchers deserve better tools. In 2026, you shouldn't have to jump between 15–20 tabs just to understand what's happening with your fleet. The right information should be in one place, ready when you need it.

That's why we built our product.

Not to replace dispatchers but to help you work faster, make better decisions, reduce mistakes, and keep all the context in one workspace.

We're still building, still learning, and we're looking for early users who want to shape the product with us. If you're a dispatcher, carrier, or just curious about where AI in freight is going, we'd love to hear your thoughts.

Thanks for checking us out. We'll be here all day answering questions and collecting every piece of feedback. 🚚

Comment highlights

@anton_mironov this is the kind of thing I wish more people built for unglamorous, high pressure work. Dispatching rarely gets any love, and giving those folks a bit of calm feels genuinely thoughtful.

Role-of-the-evidence instead of latest-wins is exactly the right frame. The part that broke ours was classifying the role itself: a genuine correction and a broker re-sending the original rate con both read as 'just confirming the rate is X', so the model kept treating a forwarded original as a fresh confirmation. Did you base that role call on email structure (reply depth, attachment vs inline) or on the language, and which one ended up more reliable?

The 'no tab switching' framing nails the real pain point, dispatchers losing the broker email, RPM math, and route weather across three different windows is where loads get mis-quoted. Curious how the broker email parser handles messier formats though does it work on forwarded/screenshot-style emails too, or does it need a clean structured email to pull rate and lane info accurately?

Treating the thread as stateful instead of one blob is the right model, that's the thing most extractors get wrong. The case that broke ours was recency not always meaning truth: a broker would forward the original rate con after sending a correction, so the newest message in the thread carried the stale number. Do you weight by message timestamp, or does the model reason about which message is actually the authoritative update?

The broker-email parsing is the piece I'd dig into. Those emails are all over the place: plain text, forwarded chains with the real load buried three replies down, rate cons as PDF attachments. When we built an email-to-structured extractor, the accuracy cliff was always the quoted chains, where the model grabbed a stale rate from an earlier message in the thread. How does Load Nova decide which number in a back-and-forth is the current one, and does it read PDF rate cons or only the body?

The "15-20 tabs" pain point is so real for dispatch teams — having RPM, profit, and live-weather routing in one side panel next to the load board is a smart way to cut the context switching. I'm curious how the route planning handles multi-stop loads where HOS limits force a reset mid-route. Does it factor available driving hours into the suggested plan, or is that still on the dispatcher to layer in?

About Load Nova on Product Hunt

An AI co-pilot and dashboard built for dispatcher speed

Load Nova launched on Product Hunt on June 30th, 2026 and earned 128 upvotes and 12 comments, placing #10 on the daily leaderboard. One workspace for dispatchers. Less tab switching. Smarter freight. Load Nova is a Chrome side panel and Dashboard that lives next to your load board. Parse broker emails, calculate real RPM & profit, plan routes with live weather — end-to-end in under 3 minutes. No tab switching. Key features: Unified dispatch dashboard AI-assisted load planning Driver and load management Route & HOS awareness Email and workflow automation Real-time operational insights Work inside ChatGPT

Load Nova was featured in Productivity (655k followers), SaaS (42.8k followers) and Operations (1.3k followers) on Product Hunt. Together, these topics include over 191.4k products, making this a competitive space to launch in.

Who hunted Load Nova?

Load Nova was hunted by Anton Mironov. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how Load Nova stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.