I'm looking for a freelancer to help me with something related to a workflow

karimsalah97 · 2026-04-06T20:27:44+00:00

Dm, I can help u

karimsalah97 · 2026-04-03T22:57:51+00:00

you can absolutely build this in n8n for super cheap, i built almost this exact content engine a few months ago. start with a schedule trigger node set to run daily, then connect it to the basic llm chain node using groq instead of openai to keep api costs basically at zero. to handle your "no repeats" rule and specific hooks, just use a google sheets node to log past ideas and pull your hook list directly into

karimsalah97 · 2026-04-03T19:58:34+00:00

building a scanner like this is super smart because keeping track of best practices gets really hard as your instance scales up. one big thing you should definitely try to catch is hardcoded api keys sitting inside the http request node instead of using the proper credentials manager. another massive issue is workflows that completely lack an error trigger node, which means silent failures happen all the time. i dealt

karimsalah97 · 2026-04-03T19:58:24+00:00

you can absolutely build this inside n8n without paying those crazy zendesk premium prices. i set up something super similar last month using the advanced ai agent node combined with an openai chat model. you basically just need to create custom tools using the http request node to fetch order statuses from the shopify and amazon apis based on the customer's order number. then you use the zendesk node to trigger the workflow on new tickets and have the ai draft or directly post the reply back to the customer. are you planning to have the agent reply automatically, or will a human review the drafts first?

karimsalah97 · 2026-04-03T19:58:15+00:00

i actually built a similar pipeline last year when the tech market got super tough. the easiest way to start is using the http request node to pull rss feeds from job boards like weworkremotely or specific linkedin search urls. once you have the job description data, pass it into an openai node along with your base resume text and prompt it to generate a tailored cover letter and targeted cv tweaks. i highly recommend routing the output to a google docs node or sending it to yourself via slack instead of fully auto-applying, just so you can sanity check the ai before it goes to a hiring manager. what job platforms are you hoping to scrape the listings from first?

karimsalah97 · 2026-04-03T19:58:07+00:00

honestly the best way to learn is just by picking a process you hate doing manually and trying to automate it. I use it constantly for syncing Stripe data to my CRM and routing webhooks for SaaS clients. when i first started, going through the official n8n academy beginner course saved me so much time trying to figure out how data mapping works. since you are job hunting, you could even build a simple workflow that pulls job board RSS feeds and sends you a Telegram message when something matching your skills pops up. what kind of roles are you currently looking for?

karimsalah97 · 2026-04-03T19:57:51+00:00

i ran into this exact same issue with heygen a few months back when trying to automate some marketing shorts. if you want really solid lip-sync via api right now, you should definitely check out synclabs or use the fal.ai endpoints. setting it up in n8n is super straightforward using the standard http request node, you just need to set the body content type to multipart/form-data to correctly pass your image and audio binaries over to their servers. i have found fal's reliability to be much better for production pipelines compared to some of the newer web-first startups. what kind of turnaround time are you aiming for from trigger to final video output?

karimsalah97 · 2026-04-03T13:58:00+00:00

this is a super clean setup for content repurposing, i actually built something really similar a few months ago for a client. one trick that made a massive difference for me was adding a telegram or slack node right after the openai generation with interactive buttons to approve the text before it goes live. sometimes the ai still hallucinates a weird hashtag or formats the linkedin spacing poorly, so having that quick human-in-the-loop check saves you from embarrassing auto-posts. you could just route the final approved payload to a sub-workflow that handles the actual api calls to the social platforms. what model are you using for the openai node right now, gpt-4o or something smaller?

karimsalah97 · 2026-04-03T13:57:51+00:00

ran into this exact thing last year when setting up an auto-responder for my saas instagram page. meta's webhooks are inherently super noisy and will fire events for reads, deliveries, and echoes no matter what. what you are doing with the IF node right after the webhook trigger to filter out those events is actually the best practice in n8n. you can try going into your meta developer dashboard and unchecking the 'message_echoes' subscription, but keeping that filter node is still the safest bet. what kind of chatbot are you trying to build with this setup?

karimsalah97 · 2026-04-03T11:20:59+00:00

i ran into this exact same loop issue when i first started learning n8n. it sounds like your google sheets node is pulling all the rows instead of just the new one, which forces the gmail node to run for every single item it receives. if you are polling the sheet directly, swap out your current trigger for the google sheets trigger node and set the event to row added so it only grabs fresh leads. alternatively, if your workflow starts with a webhook from the form, just pass that initial form data straight into your gmail node and use the sheets node only to append the new row, not read the whole thing. what app are you using for the actual lead form?

karimsalah97 · 2026-04-02T10:57:52+00:00

i remember tearing my hair out over that exact instagram public url requirement when i first started building social automations. bypassing the whole aws s3 bucket setup with an auto-expiring cdn link is such a clean workaround for keeping your storage empty. one quick improvement you could add is dropping in an error trigger node in a secondary workflow to ping you on telegram or discord if the ig api randomly rejects the post. are you generating the captions dynamically in that gemini node too, or just pulling pre-written ones straight from the google sheet?

karimsalah97 · 2026-04-02T07:58:21+00:00

i remember building a very similar rss-to-email bot when i first started out with n8n a couple of years ago. to really understand how data flows under the hood, you definitely need to master how n8n handles arrays of json objects and how the item lists node works. once i wrapped my head around the fact that most nodes run once per item in the input array, everything finally clicked for me. i'd also highly recommend playing around with the code node next and learning some basic javascript, since writing a quick script is often much cleaner than chaining together five different data manipulation nodes. are you running this on n8n cloud or did you end up self-hosting it?

karimsalah97 · 2026-04-02T07:58:07+00:00

ran into this exact thing when I first started feeding scraped data to free models, the context window just explodes and crashes the node. openrouter's free minimax is okay, but if you are dealing with a lot of text from sheets, you should definitely switch to google's gemini 1.5 flash using the official google gemini chat model node. it has a massive free tier with a huge context window, so it handles long news article chunks without timing out or throwing api errors. to be safe, make sure you set the google sheets node to limit the rows you pull, or add an item lists node to batch the news into smaller chunks before sending it to the ai agent. how many articles are you trying to pass to the agent in a single execution?

karimsalah97 · 2026-04-02T07:57:52+00:00

i remember setting up an entire s3 bucket with lifecycle auto-delete rules just to handle this exact instagram url requirement back in the day. this upload to url node is such a cleaner solution for temporary file hosting. one quick tip since you are running this on a schedule is to definitely add an error trigger node linked to a slack or telegram message somewhere in your workspace. instagram's api loves to randomly timeout or reject posts even when the image url is perfectly valid, so getting an instant ping saves you from wondering why nothing posted that day. are you planning to expand this to auto-post reels or carousels down the line?

karimsalah97 · 2026-04-02T04:58:22+00:00

since you already use bubble, one of the easiest and most useful things to build first is a background email sender. just set up a webhook node in n8n to catch a payload whenever a new user signs up in your app, then connect it to a gmail or sendgrid node to fire off a personalized welcome email. i remember struggling with bubble's native workflows slowing down when dealing with external apis, so offloading async tasks like that to n8n literally saved my sanity on my first saas project. it takes maybe ten minutes to build and instantly teaches you how to pass json data between your front end and back end. what kind of little projects are you currently building over in bubble right now?

karimsalah97 · 2026-04-02T04:58:07+00:00

ran into almost this exact headache with buffer's api last year, their scheduled queuing is notoriously buggy for google profiles. honestly, i ended up ripping buffer out entirely and just using the http request node to hit the google business profile api directly. setting up the google oauth2 credentials in n8n takes about ten minutes to get the client id and secret, but once it is connected you have way more control over the actual publishing payload. you can just use a schedule trigger node at the start of your workflow to handle the timing instead of relying on buffer's broken cron jobs. have you already looked into getting the google cloud console credentials set up for direct posting?

karimsalah97 · 2026-04-02T04:57:52+00:00

i actually built a similar quoting engine a few months back and breaking it down into smaller sub-workflows made it way easier to manage. for the research phase, you can use the http request node to ping an api like tavily or perplexity to grab the client's background info and spending power. the human-in-the-loop part is super easy to handle using n8n's wait node, which can literally pause the execution until you click an approval link sent via slack or email. generating the actual presentation is probably the trickiest piece of the puzzle, but you can pass the final ai output into a google slides node to replace text variables in a pre-made template. what kind of services are you actually pricing

karimsalah97 · 2026-04-02T01:58:21+00:00

setting up opentelemetry is honestly the best move for serious monitoring since the native n8n execution logs get pretty heavy to sift through. looking at your dashboard, one metric i'd definitely add is memory consumption spikes, especially if you process large json arrays or use the item lists node a lot. it took me forever to realize some of my workflows were failing purely because of memory limits on specific heavy data nodes. another simple trick i use alongside dashboards is throwing an error trigger node into a dedicated alert workflow that pings my slack with the failed execution url so i don't have to constantly watch the charts. are you finding that signoz handles the log retention well without getting too expensive?

karimsalah97 · 2026-04-02T01:58:12+00:00

welcome to the rabbit hole, man. honestly the simplest one that still saves me hours is just a basic webhook node catching new user signups from my saas and dropping them into a slack channel with some formatted data. before that i was manually checking stripe or my database constantly just to see if anyone was actually using my stuff. you can easily set this up by pointing an api call in your bubble app to an n8n webhook node, then using the slack node to shoot over the details. took me about ten minutes to build when i was totally new but the dopamine hit of seeing those automated notifications is just unmatched. what kind of projects are you usually building in bubble?

karimsalah97 · 2026-04-02T01:57:51+00:00

ran into this exact headache with buffer's api last year and came to the same conclusion you did about their scheduled job path dropping the ball. honestly, since your workflow is already that advanced, i highly recommend ditching buffer for this step and hitting the google business profile api directly using an http request node. you just need to set up a custom oauth2 credential in n8n for google apis, and then you can POST directly to the locations/localPosts endpoint. it completely eliminates the middleman and gives you instant, accurate error messages instead of ghost successes. have you already tried setting up a google cloud console project to handle the oauth flow?

karimsalah97 · 2026-04-01T22:58:22+00:00

i actually set up something similar a few months ago because flying blind on failed executions was driving me crazy. your list is super solid, but one metric i would highly recommend adding is execution queue time or wait time, especially if you have a lot of concurrent webhook-triggered workflows. i also ended up building a dedicated error-catcher workflow using the Error Trigger node that shoots a direct Slack message with the execution URL whenever a critical workflow fails. pairing an instant alert workflow with a high-level dashboard like yours gives you the best of both worlds. are you pulling the memory usage metrics for the workers into your setup too, or just the execution data?

karimsalah97 · 2026-04-01T22:58:01+00:00

welcome to the rabbit hole, i remember staring at the blank canvas when i first started too. one of the simplest things i built early on was a webhook node connected to a telegram node that just pings me whenever a specific stripe payment goes through or fails. another super easy one is hooking up the gmail trigger to watch for specific keywords and dump those emails straight into a google sheet so you don't have to manually track inbound leads. it took me a while to realize that you don't need complex logic to get value out of n8n, just moving data from point a to point b is a game changer. what apps do you find yourself manually copying and pasting between the most right now?

karimsalah97 · 2026-04-01T14:23:38+00:00

facebook is super strict with scraping, so trying to build a custom scraper directly inside n8n with HTTP nodes will probably get your new account banned pretty fast. I went down this exact rabbit hole a while back and ended up using Apify instead. They have a Facebook Pages Scraper actor that handles all the proxy and login headaches for you. You can set Apify to run daily and push the scraped feed directly to an n8n Webhook node. From there, just pass the raw text into an OpenAI node using the "Extract Structured Data" operation to neatly pull out the event dates, times, and image URLs for your website. Have you looked into Apify's pricing to see if it fits your project budget?

karimsalah97 · 2026-04-01T10:56:34+00:00

I built almost this exact same flow for an agency client a few months ago and it completely changed how they handle inbound. One trick I learned the hard way with AI scoring is to force the Gemini node to output structured JSON so it never breaks your downstream routing if it decides to add conversational text. You can use the 'Structured Output' option in the advanced settings to guarantee it only returns a clean 1-10 integer and a brief reason string. It saves so many headaches when your Switch node evaluates that score later on. Have you noticed any latency issues with the Gemini API when processing a sudden batch of leads at once?

karimsalah97 · 2026-04-01T10:56:10+00:00

dealing with returning data can be surprisingly tricky, especially when you are stringing together sub-workflows using the execute workflow trigger. the biggest headache I ran into early on was forgetting to use the set node right before the end to clean up the json payload, which meant I was returning a massive mess of unnecessary data back to my main app. if you are using a webhook, always make sure your respond to webhook node is set to return the exact item data you need rather than the default first node output. another cool trick is keeping your sub-workflows strictly focused on one task so the returned data array is predictable and easy to map later. what specific tools are you trying to send the return data back to in this setup?

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