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Werbot – Easy and secure sharing of servers access

Hacker News

Werbot – Easy and secure sharing of servers access

Hello Hacker News! This is Inna from Werbot (https://werbot.com/) Every day more and more companies decide, or are told, to have their employees work from home. We noticed that many of them have problems accessing their own servers and client servers as well. In many cases the access is blocked due to corporate firewall settings. How many of you have keys or passwords stored in notepad, mailbox or even in the Dropbox? Only 7% of companies can exactly name all people having access to their servers (according to ForcePoint). We made sharing of server access simple and secure. Now users connect to all servers accessible to them, with a single sign-on using their login and their private key. All work performed on the servers is recorded as a screencast, which can be viewed in the player in your account. We do not change the way to work on servers, we change the way to connect to them. The users do not need anymore to remember access to the servers and store them insecurely in notes, email, Google sheets and so on. All accesses are safely stored in one place (similar to the 1Password principle). Connection to the server is not direct, but is made through a single sign-on using login and user's private key (example ssh username@werbot.com). The server access can be restricted by time, geo-location and IP. This is convenient when working with branches and freelancers. The work performed on the servers is logged and recorded as a screencast, which can be viewed in the player in your account. Sign up and get 14-day free trial period for any tariff plan of your choice - https://werbot.com/ We hope that our service will help many people and make their work more efficient.

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3points
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: google, users, way · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: google, user, new · Missing: mac, agents, macos
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: efficient, users · 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
12%12% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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