Pika – Simple blogging software

Hacker News

Hello HN! I wanted to share something we at Good Enough ( https://goodenough.us ) built over the past month. Pika! https://pika.page I know, I know, who needs more blogging software? In this case, _I DO_. I find that the big players in the market have a distracting number of dials and knobs. I greatly appreciate the indieweb players in the space, but none of those solutions quite fit my way of blogging and so I'd bounce from one to the other to the other. I tried SSGs and my goodness do I dislike the experience of maintaining a website with them. I dislike the SSG experience so much that before convincing the team to build Pika with me, I was actually blogging by writing straight HTML! Pika is about simplifying blogging down to writing. Pika provides a great editor that doesn't _require_ Markdown (but accepts it) and a light bit of easy-to-use customizability without distracting you. With that baseline, we hope Pika can be a nice place for semi-technical folks to start or continue their blogging journey without all of the fiddly bits. In the longer term we'd like to make blogging more and more accessible to those who are non-technical, and we will grow our feature set and UX accordingly. We would love to hear thoughts from anyone that is an active blogger or considering starting a blog. Also, if you know someone who is on the hunt for easy, beautiful blogging software we'd appreciate you letting them know about Pika. Thank you!

Visit product View on Hacker NewsFeb 6, 2024

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

80%80% 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.

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

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

56%56% 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 · Strong signals: month, way · Missing: mobile apps, ios, personal

43%43% 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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% 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.

Correct prediction on native model

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