Instantly.ai Reviews

opencode Reviews

Instantly.ai mentions (21)

• Cold email in 2026: what indie hackers got wrong (with a Python validator I built to enforce the new rules)

  I rebuilt my outreach this week after my reply rate tanked from 4% to <1%. Pulled fresh data from 5+ deliverability blogs (Autobound, MarketingProfs, HyperGen, Instantly), built a Python validator to enforce the new rules across 70+ template files in my repo, and shipped 10 trimmed emails that comply. - Source: dev.to / about 2 months ago

• Org-Level Email Campaigns are Somehow an Unsolved Problem

  Instantly was my final selection given its API was the most robust and well documented. It gave claude full access to campaigns, leads, and sequences while also being capable of sending webhooks on reply and unsubscribe events. - Source: dev.to / 6 months ago

• Massive drop in sales, need advice

  Anywho, the old mailgun system was able to send emails immediately + had images in them. The recommendations we got were to remove ALL images, and instantly.ai has to delay a few minutes between email. So the emails get out slower and no images, plain text looks a lot more scammy to me and I assume also hurts conversions? Source: almost 3 years ago

• Snov or Lemlist

  What about instantly.ai? Any experience around that? Source: about 3 years ago

• Our first email ended up in the user's spam folder

  Yeah, well that's just how it works. You'll need to warm up your domain, there's a lot of ways to do it I would suggest something on the lines of https://instantly.ai/. Source: about 3 years ago

opencode mentions (67)

• ZCode: Claude Code from the Makers of GLM

  Https://opencode.ai/ OpenCode was the first agent harness I used, and I have always like it. You can configure a wide variety of providers, but it's open source and has a number of core contributors. The other opinionated option is Pi (the Pi agent harness). This is a great lightweight option and also supports a number of providers. You can also use local model servers. - Source: Hacker News / 1 day ago

• AI for Less Popular Programming Languages

  OpenCode with GLM 5.2 wrote custom Emacs Lisp to pinpoint within the file where the missing or extra bracket could be. It rewrote the custom code to check various parts of the file. Each of those is a tool use and many, many tokens burned. The next step is to turn those custom scripts written by the AI agent into a tool to speed up the process, or a skill that shows how to use other tools to speed up the process. - Source: dev.to / 4 days ago

• How to Run Reliable Local LLM Agents on an RTX 3090: A Benchmark (5 Models, Priced in Watts)

  I gave GLM-4.5-Air (106B, open weights) 12 coding tasks through opencode on my RTX 3090. It scored 0% — never edited a single file. - Source: dev.to / 5 days ago

• The head chef model of AI collaboration

  Set up your stations. I work in two Ghostty terminals. The left side is for planning and viewing, the right for synchronous agents running through OpenCode. - Source: dev.to / 14 days ago

• Testing GLM-5.2 on OpenCode: I'm impressed!

  If you want to try it yourself: grab OpenCode, point it at OpenRouter, select GLM 5.2, and give it a real task instead of a benchmark. The z.ai docs have the rest of the details. - Source: dev.to / 15 days ago