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73 points sand1929 | 2 comments | | HN request time: 0s | source

Hi HN! I’m Sandy, and I’m excited to introduce Parsagon. Parsagon is using AI to automate workflows for government affairs professionals, starting with an AI search for public policy. Here's a demo: https://parsagon.io/explore-search

Current search portals for political monitoring are outdated. (By political monitoring, we mean people/orgs monitoring government announcements, policy updates, etc.; not the government monitoring people.) Each one only covers one region of the world, and they only allow you to search government publications based on simple keyword searches. Government affairs professionals often spend hours combing through noisy search results to find relevant developments. For example, they might search for the words “labor”, “employment”, “workforce”, etc., combing through all US government publications mentioning these keywords to find relevant material. Then they might have to repeat this process on separate platforms for the UK, EU, etc.

Parsagon allows you to search for exactly what you want. Instead of searching for all publications containing the phrase "crop production", you can search for something as precise as "news related to US crop production, including foreign crop production that impacts the US" and get the publications you’re looking for from any region of the world (our demo lets you search the US and UK).

So you might be wondering: why are we launching on Hacker News now? After all, we’re YC W21, and we’ve been around a while. Well for the first 2-3 years of our existence, we were working on an AI developer tool that generates data pipelines, and while we had plenty of people interested in using our AI, our AI couldn’t solve most of the use cases we encountered (at least, it couldn’t solve them well). Everyone’s use cases were quite disparate, and we wasted a lot of time trying to get our product to the point where we could solve all of them (and during that time, we just weren’t concerned with launching on HN).

We had little success until a large non-profit reached out for help getting started with our product. They wanted to scrape a wide variety of government organizations to get announcements and communications that could affect their line of work. This request seemed odd to us, since there are already platforms that track government activity seemingly ready-made for their use case. Why would these mostly non-technical government affairs professionals be trying to learn to use a developer tool?

As we talked with these first customers and learned how outdated current political monitoring tools are, this use case became increasingly exciting to us for a few reasons. First, we felt our AI gave us a significant advantage in this space, allowing us to monitor government websites on a scale that existing tools couldn’t match. While most existing products focused on monitoring a single country, we could build pipelines to get most of what our users wanted from any given country in under a week, and give them better ways to search and aggregate that data at the same time.

Second, two other significant organizations reached out around the same time with similar use cases. We were excited that larger organizations were interested in this use case and were willing/able to pay significant sums for it (one problem we had before was that many companies interested in using Parsagon were small startups with low willingness/ability to pay). And since these organizations were able to introduce us to others in their industry, it quickly became apparent that we should focus on solving this one use case of political monitoring.

And so now we’re here! We have a product we’re excited about, that our current customers are excited about, and we want to share it with HN! We’d really appreciate any feedback, and if you know anyone working in government affairs, we’d appreciate it if you showed this to them!

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enisberk ◴[] No.42320280[source]
Congrats on the launch! While search with LLMs is quite popular nowadays, it is still hard to get it right.

As a smoke test, I tried the following queries, and they returned the same result. Good job!

    international relations Turkey
    international relations about the country with the capital city of Ankara
Both return info from this link: https://www.state.gov/secretary-blinkens-call-with-foreign-m...
replies(3): >>42320400 #>>42320431 #>>42327499 #
sdesol ◴[] No.42320400[source]
Well if you ask GPT-4o the following:

Give me keywords to search for based on this sentence "international relations about the country with the capital city of Ankara"

You get the following:

- Turkey international relations - Ankara diplomacy - Turkey foreign policy - Turkey global partnerships - Turkey international politics - Turkey geopolitical strategy - Turkey foreign affairs - Turkey global relations - Turkey NATO relations (if relevant to your topic) - Ankara as a diplomatic hub

So it is not unsurprising that the same link was returned

replies(1): >>42322737 #
1. enisberk ◴[] No.42322737[source]
This is a demo from a small startup dedicated to enhancing government transparency, which I greatly appreciate. As a result, my expectations are aligned with this goal, and I refer to this as a smoke test.

Achieving accuracy with RAG and LLMs is a challenging task that requires balancing precision and recall. For instance, when you type "Ankara" into GPT-4o, it provides information about Turkey. However, searching "Ankara" in their product does not yield articles related to Turkey.

replies(1): >>42323172 #
2. sdesol ◴[] No.42323172[source]
> Achieving accuracy with RAG and LLMs is a challenging task that requires balancing precision and recall

The challenge is domain knowledge and not tech in my opinion. There are dozens if not hundreds of companies providing RAG and LLM, but the challenge is, like you pointed out, what should you do if you encounter something like "Ankara".

For BestBuy, this might not mean much, unless there is a BestBuy in Turkey. For a government related site, cities and geography is important, so trying to extract additional meaning from Ankara is probably important.