Skip to main content

Show HN: Mole v0.5.0 (SSH tunnel client with keep alive and connection retries) https://ift.tt/2oOJoS5

Show HN: Mole v0.5.0 (SSH tunnel client with keep alive and connection retries) Highlighted Features * Auto local address selection: find a port available and start listening to it, so the -local flag doesn’t need to be given every time you run the app. * Create multiple tunnels using a single ssh connection: multiple tunnels can be established using a single connection to a ssh server by specifying different -remote flags. * Aliases: save your tunnel settings under an alias, so it can be reused later. * Leverage the SSH Config File: use some options (e.g. user name, identity key and port), specified in $HOME/.ssh/config whenever possible, so there is no need to have the same SSH server configuration in multiple places. * Idle clients do not get disconnected from the ssh server since Mole keeps sending synthetic packets acting as a keep alive mechanism. * Auto reconnection to the ssh server if the it is dropped by any reason. Link: https://ift.tt/2CNVeBp October 3, 2019 at 02:12PM

Comments

Popular posts from this blog

Launch HN: Simmer (YC W19) – Reviews for Delivery Dishes https://ift.tt/2Y4sD67

Launch HN: Simmer (YC W19) – Reviews for Delivery Dishes Hi HackerNews community! We’re Vaibhav and Richard, founders of Simmer ( https://usesimmer.com ). Simmer aggregates dishes from DoorDash, Caviar, GrubHub, and basically every other delivery platform out there, and tells users the best dishes across the board. We do this by providing dish-level reviews. Users find highly reviewed dishes on Simmer, choose the delivery platform of their liking, and we deep link them into their chosen delivery app. We essentially lead gen to delivery. We started working on Simmer because we loved trying new restaurants, but never knew what to order. Especially, when there’s a 5 page menu. We always asked ourselves, “Why aren’t there ratings for individual dishes?” We launched our app with this restaurant-centric use case (reviews for every dish at every restaurant), but when we rolled out delivery integrations, we realized that users resonated most with the delivery angle. They found it particularly ...