CivicEcho, a tool to help you write emails to Congress (AGPL)

Hacker News

Hi HN, I built CivicEcho, a simple and open-source tool to help people write personalized emails to their US House representative. The idea was to remove friction for people who care about issues but might hesitate to write or feel overwhelmed by the process. It works like this: You enter your address, and it identifies your House rep automatically. Then, you choose a bill or current news topic (or enter your own topic, either via link or however else), and it provides a coherent first-draft message. You can edit freely, it's not meant to replace thoughtful writing, just make it easier. It also includes a "campaigns" feature, so you can share a prefilled message link to quickly get friends or communities involved. I know tools like ResistBot and 5Calls exist, and they're great. CivicEcho is just slightly different. It's web-only, email-focused, and generates unique (but editable) drafts rather than templated or scripted messages, and allows sharing and tracking campaign engagement. The stack is straightforward, Express.js, MongoDB, OpenAI API (as a pragmatic choice), with plans to eventually shift to self-hosted, open LLMs when sustainable. It's fully open-source under AGPL. No logins. No tracking. No bullshit. Would love any feedback, criticisms, or suggestions. Thank you! https://civicecho.org https://github.com/abkhur/civicecho

Visit product View on Hacker NewsJun 23, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, email, openai · Missing: mac, agents, macos

82%82% 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

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: host, calls · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

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

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

10%10% 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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