▲ 4 r/web3

Research

Why do so many established platforms struggle to move to Web3 architectures? (student researcher, looking for real-world perspectives)

I'm a Master's student researching why established digital platforms (marketplaces, social/community platforms, fintech intermediaries) so often fail when they try to migrate toward Web3 models, while native protocols like Uniswap thrive.

Two well-known examples keep coming up: Reddit's Community Points (shut down after a couple of years) versus protocol-native projects that never had a legacy business to restructure.

From the literature, I keep running into a few candidate explanations:

- Incumbents need an 18-36 month cultural shift that many don't fund or tolerate

- Leadership fluent in only business OR only crypto, but not both

- Revenue models built on capturing value, which clash with distributing it to users/token holders

- Regulatory uncertainty (e.g. MiCA in the EU) acting as an excuse more than a cause

I'd really like to hear from people who have seen this from the inside (building, advising, or evaluating such projects):

  1. Which of these actually matters most in practice, and which are overrated?

  2. Is there a factor missing that you've seen make or break a transition?

  3. Can you think of a counter-example of an established company that did it well?

To be transparent: this feeds into my thesis (supervised by Prof. Romain Gandia, IAE Savoie Mont Blanc). I'm not selling anything, and I'll anonymise anything I use. If I'd like to quote a comment, I'll ask for permission in the thread first.

Thanks!

reddit.com
u/Guts__12 — 6 days ago
▲ 0 r/microsoft_365_copilot+1 crossposts

I built a desktop app that scrapes any website to Excel — no coding required (Windows + Mac)

Been a BI intern for the past few months and kept running into the same problem: data I needed was on websites, not in spreadsheets. Copying it by hand was eating hours every week.

So I built a small desktop app:

  • Paste a URL
  • Pick what to extract (links, tables, headings)
  • Click Export → clean Excel file in your Downloads

Works on Windows and Mac. Built with Python + Tkinter + BeautifulSoup.

It's on Gumroad for $15 if anyone finds it useful: [link]

Happy to answer any questions about how it's built — the scraper core uses requests + BeautifulSoup for static pages.

reddit.com
u/Guts__12 — 5 months ago