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Using ChatGPT for advocacy email letters

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Using ChatGPT for advocacy email letters

today i tried asking chatgpt to write me an advocacy email for bike lane illegal parking fines apart from the weird anecdote, the output seems pretty good OUTPUT: Dear Governor of Toronto, I am writing to advocate for creating a fine for vehicles parking in bike lanes. As a resident and frequent cyclist in Toronto, I am thrilled with the recent addition of bike lanes in the city. They have greatly improved my ability to safely and efficiently travel around the city. However, I have noticed that many of these lanes are still being obstructed by parked cars. One particular incident comes to mind. I was cycling down a busy street, using the dedicated bike lane, when I had to swerve around a parked car that was blocking the lane. I narrowly avoided an accident, but the experience left me shaken and frustrated. It's unacceptable that bike lanes are not being respected and utilized properly. I recently learned of a new proposal in New York City that allows citizens to submit photographic evidence of blocked bike lanes. After an investigation and subsequent ticketing, the submitter receives a percentage of the ticket value. I believe this is a great idea and would like to see Toronto adopt a similar policy. Here are five reasons why creating a fine for vehicles parking in bike lanes is a good idea: It will help ensure the safety of cyclists. Blocked bike lanes put cyclists at risk of accidents, as I experienced firsthand. By creating a fine for obstructing these lanes, we can encourage drivers to be more mindful and respectful of cyclists. It will help improve the efficiency of the city's transportation system. Bike lanes are designed to improve the flow of traffic, but when they are blocked by parked cars, they become ineffective. By enforcing a fine, we can help keep these lanes clear and functioning as intended. It will provide an additional source of revenue for the city. The fine for obstructing a bike lane in New York City is expected to be $175. If Toronto implemented a similar policy, it could generate significant revenue for the city. It will encourage more people to cycle. If people know that bike lanes are respected and protected, they may be more likely to choose cycling as a mode of transportation. This could help reduce traffic congestion and improve air quality in the city. It will send a strong message that the city values and prioritizes cycling. By implementing this policy, Toronto will show that it is committed to making the city a safer and more enjoyable place for cyclists. I hope that you will consider my proposal and take action to create a fine for vehicles parking in bike lanes. It is a necessary step to ensure the safety and efficiency of the city's transportation system, and to promote a healthy and sustainable mode of transportation. Sincerely, [Your Name]

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Indie HackersFits the IH revenue-focused audience · Strong signals: efficiently · Missing: supports, reddit linkedin, podcasting
82%82% 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 · Strong signals: new, email, chatgpt · Missing: mac, agents, macos
81%81% 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
62%62% 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: efficient · Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr, revenue · Missing: mrr, profit, saas
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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