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A Browser in your Browser Tab -- Works Now!

Hacker News

A Browser in your Browser Tab -- Works Now!

URL https://demo-vfp.dosyago.com Basic auth credentials Account: guest Password: vfpdemo Also, the following link may work for some of you (includes Basic auth credentials embedded): https://guest:vfpdemo@demo-vfp.dosyago.com (but some browsers may have stopped supporting this?) ---------- This is a little demo I've thrown up, until Sunday. I'm running it on Vultr (after being years on GCP and AWS). I'm really happy with them. The server is in Seattle so there may be a bit of lag for some of our more geographically distant audience. ---------- Hah, I did so many mistakes in this post. I: 1) Forgot to post the credentials so the original link post was "garbage collected" by a mod or automatically to become a text post because it was hitting a Basic auth page 2) "corrected" the post by adding credentials but then misspelled the link Fortuitous

Visit product View on Hacker NewsJan 7, 2022

Actual performance

2points

2comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: mistakes · Missing: supports, reddit linkedin, podcasting

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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