ExecAPI – Zero-Infra Background Jobs as a Service

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Hey everyone! I'm excited to show off ExecAPI, a zero-infrastructure background job runner as a service. It's a bit like a hosted Sidekiq (if you're from the Ruby world), except that you can write your job workers in any language that has a Docker image available. Background jobs (aka workflows) are triggered by either a Cron schedule or an on-demand HTTP request, which then executes one or more actions. Each action is user-submitted code that runs a Docker image of your choosing, and is run in a secure sandbox (currently gVisor, perhaps Firecracker VM in the future). It's a bit rough around the edges right now, but I'd love to get some feedback on the direction I'm going with this. The plan is to build a low/no-code experience consisting of triggers and actions that can be be used to build automation workflows, a bit like Zapier, IFTT, et al. and to provide an on-prem/private VPC solution.

Visit product View on Hacker NewsApr 21, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, dock, code · Missing: mac, agents, macos

78%78% 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 · Missing: supports, reddit linkedin, podcasting

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

72%72% 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 · Strong signals: host · Missing: plus, platform, intuitive

32%32% 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

18%18% 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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