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Launched My First SaaS Product in a Month: Fastcomments.com

Hacker News

Launched My First SaaS Product in a Month: Fastcomments.com

https://fastcomments.com So, getting feedback like this is super scary and I procrastinated for probably a week longer than I should have - but no more! FastComments is launched and ready to use. I thought of the project while I was on vacation, and started coding I think around Dec 27th. I wanted to write about my month long stint abroad and was planning on creating a new blog for just that kind of content and decided I was going to embed comments into the blog. After doing some digging about Disqus I thought it was a good opportunity to build an alternative. FastComments is a fast, privacy-focused embedded comment solution. This means you can create a little snippet that'll add a comment thread to any static page. Currently it weighs in at 6.6kb gzipped. Data migration is completely self service and you can seamlessly migrate from what I consider my top three competitors (Disqus, Muut, Commento). Commento is actually pretty nice and will be fun competing with it. You can read about all the nerdy stuff here: https://blog.winricklabs.com/(1-24-2020)-how-fastcomments-was-built.html Addressing the elephant in the room - the website design - a lot of designers have given me feedback already. The problem is I want the design to reflect the product/service: fast, simple, and to the point. So while I'm open to feedback - that's the goal! :) I was employed during most of this time so this is a side project. I am between jobs this week so that helped a lot in getting it ready. I'm winding down development a bit now and focusing on marketing while transitioning my development time to launching my next set of projects (watch.ly, and building a couple games). Anyways I know the community here is really awesome and I know I'll get some good feedback. Thanks. ... and maybe I'll get around to writing that blog post I originally intended to write... :)

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
94%94% 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: ide, io · Missing: https docs, excited, just released
67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: new, using, coding · Missing: mac, agents, macos
61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal
44%44% 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
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
21%21% 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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