This is an interesting approach, especially being data oriented I think is really helpful. For example, someone may not be the best at "pitching" traditional investors but may have the numbers to prove it. Which is good to give everybody a shot.
How about just pre-revenue businesses who are working towards numbers but have serious promise? Also, what categories like ecommerce vs. Sass etc.
I do a lot of stuff with GPT-3 now but could use help depending upon what startup segments are available to get investment.
Love the idea and think this could be a huge market. Just wondering if you guys help with theft, damage, or insurance too? What are the best practices for this?
I don't want to get too much into the weeds, but there is a whole subset in Information Retrieval which relates to IR system evaluation, or search engine result evaluation. One simple way of doing it is simply labeling the accuracy of each result via human curator as either a 0 or a 1.
But it can get really complicated, for example, sometimes there just aren't relevant documents in the index in the first place ... so, you can't really blame your ranking factors too much. The opposite can happen too, where a word occurs too frequently in which case you might resort to other kinds of ranking factors (most notably pagerank).
In our case, we're focused on broadening our state/country level coverage right now for keywords (more listings), then we're going to focus on making sure our location accuracy is a lot better (it needs work). Overtime, you should get the results you're expecting more often :)
hi Greg, we don't offer filtering by cities at the moment, only states/countries, so, you wouldn't have been able to look up, "Bridgeport" specifically, right? A lot of people punch in a city and hit "search" but what they get as a response are matches from "any country" which is the default. Which is why you didn't see the basic filtering you were expecting.
Regardless, I just looked at our results for tech support in CT and I agree we need to work harder on our results, but comparing to Google, they only had tech support jobs (not even business listings)... which makes sense in their product use case.
I can see what you're saying and Google is by far, the industry benchmark, but it's also difficult to compare results sometimes ... it's like Apples and Oranges.
Search is alive and well. I'd recommend reading some of the latest textbooks and research papers on information retrieval. The industry was given new life about 5 years back with knowledge graphs and has been reborn again with recent innovations in machine learning, cloud computing, and data mining technologies.
I'm working on a project now which has indexed billions of pages and answers queries similar to a web search engine like Google:
https://www.AtSign.co/
The only difference is that it's a keyword + location based business contact information engine but operates on the same principles as a real web search engine client.
We're a small team and it would have been unthinkable even a years back to launch something of this scale effectively ... But here we are! Amazing space to be in right now
Yes - Orik thank you so much for understanding. We're using a library called Flask-limiter, so I'm looking into what could be causing this ... I probably misread the docs somewhere.
Startup Timelines was always made to be free and accessible, it didn't even ask you to create an account until last month (been running the site for a year now). I don't want anyone to be upset so I've quickly made an account you can use to browse if you've gotten this rogue error:
username: hn_user
password: startuptimelines1
(all accounts are full btw)
I'm sorry and hope this doesn't ruin your take on the site forever. There's a tour that walks you through the site when you register, so, here are screenshots of the pages:
Sorry about that - this is a known bug we're trying to fix. If you refresh or view incognito it might let you browse after a minute or so. This is no way intentional to try to get you to sign up
We're focused right now on building an audience - ideally founders and employees at startups who are looking up information everyday on Startup Timelines (funding rounds, screenshots, news snippets etc).
With enough data points and a daily community looking up stuff everyday, we actually think it'd be cool to help unknown startups raise money (equity crowdfunding) through our platform. Ie. we track information about them and changes to their product (not just the homepage) from the day they launch.
I found a few market size numbers around the crowdfunding market floating around [0] but it is already multi billion dollar market
At the moment though, we're just focused on helping founders research startups better and getting them the information they need to be successful.
